FINAL AGENDA

17TH ANNUAL Final Weeks Building a global to Register! network for precision medicine by uniting 2018 CONFERENCE the Bio-IT community TRACKS

1 Data & Storage Management MAY 15-17, 2018 | BOSTON, MA SEAPORT WORLD TRADE CENTER 2 Data Computing 3 FAIR Data for Genomic Applications 4 Software Applications & Services 3,400 185+ 280+ 15 Industry Professionals Industry-Leading Technology and Scientific Diverse Conference 5 Cloud Computing from 35+ Countries Sponsors and Exhibitors Presentations Programs 6 Bioinformatics

7 Next-Gen Sequencing Informatics 2018 PLENARY KEYNOTE SPEAKERS 8 Clinical Research & Translational Informatics Mark Boguski, MD, PhD Tanya Cashorali Executive Vice President and Founder, 9 Data Visualization & Chief Medical Officer, Liberty TCB Analytics Exploration Tools BioSecurity 10 Pharmaceutical R&D John Reynders, PhD Jerald S. Schindler, DrPH Informatics Vice President, Data Sciences, Vice President, Biostatistics, 11 Clinical Genomics Genomics, and Bioinformatics, Alkermes, Inc. Alexion Pharmaceuticals, Inc. 12 Cancer Informatics Carl Zimmer Lihua Yu, PhD 13 Data Security Award-winning Science Writer; Chief Data Science Officer, Columnist, New York Times; 14 Data Transfer May 14-15, 2018 | Boston, MA H3 Biomedicine Author of She Has Her Mother’s Laugh SEAPORT WORLD TRADE CENTER (coming May 2018) 16 BridgetoPopHealth.com/EAST

Bio-ITWorldExpo.com #BioIT18

PLATINUM SPONSORS TABLE OF CONTENTS

2018 CONFERENCE PROGRAMS

VIEW TRACK 1 Data & Storage Management VIEW CONFERENCE SCHEDULE VIEW TRACK 2 Data Computing VIEW PLENARY KEYNOTE PRESENTERS VIEW TRACK 3 FAIR Data for Genomic Applications - NEW

VIEW TRACK 4 Software Applications & Services VIEW WORKSHOPS

VIEW TRACK 5 Cloud Computing VIEW POSTER INFORMATION VIEW TRACK 6 Bioinformatics

VIEW TRACK 7 Next-Gen Sequencing Informatics VIEW HACKATHON

VIEW TRACK 8 Clinical Research & Translational Informatics VIEW BRIDGE TO POP HEALTH VIEW TRACK 9 Data Visualization & Exploration Tools VIEW VIEW TRACK 10 Pharmaceutical R&D Informatics INDUSTRY AWARDS

VIEW TRACK 11 Clinical Genomics VIEW NETWORKING RECEPTIONS VIEW TRACK 12 Cancer Informatics VIEW HOTEL & TRAVEL VIEW TRACK 13 Data Security

VIEW TRACK 14 Data Transfer - NEW VIEW MEDIA PARTNERS VIEW TRACK 16 Machine Learning - NEW VIEW SPONSOR & EXHIBIT INFORMATION

VIEW REGISTRATION INFORMATION

2 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER CHI’s 17th Annual [ 2018 SPONSORS ]

[ PLATINUM SPONSORS ]

WELCOME With pharma and biotech trading talent and everyone debating machine learning and artificial

intelligence, there’s never been a more important [ GOLD SPONSORS ] time to push past the hype and see what is really happening in Bio-IT. The biology behind sequencing, omics, and gene editing hurtles forward, and data is paramount. The 2018 Bio-IT World Expo plenary roster knows data science, both at pharma and biotech. Veterans of Merck, AstraZeneca, Novartis, and Johnson & Johnson bring decades of expertise to bear on the new challenges we’ve uncovered. Astonishing advances in visualizing, storing, processing, sharing, and moving data are enabling bigger research projects, deeper discoveries, and brand new questions. It’s a great time to be part of the Bio-IT Community.

We look forward to seeing you in May.

Allison Proffitt Editorial Director, Bio-IT World

[ BRONZE SPONSORS ] Cindy Crowninshield Senior Conference Director/Team Lead, M Bio-IT World Conference & Expo

[ OFFICIAL MEDIA PARTNER ]

3 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS SCHEDULE-AT-A-GLANCE #BioIT18 MONDAY, MAY 14, 2018 8:00 am - 5:00 pm Bio-IT FAIR Data Hackathon

TUESDAY, MAY 15, 2018 8:00 am - 3:30 pm Bio-IT FAIR Data Hackathon 8:00 am - 4:00 pm Pre-Conference Workshops 4:00 - 5:00 pm Plenary Keynote Session 5:00 - 7:00 pm Exhibit Hall Open 5:00 - 7:00 pm Welcome Reception in the Exhibit Hall with Poster Viewing

WEDNESDAY, MAY 16, 2018 8:00 - 9:45 am Plenary Keynote Session Data Science Panel 9:45 am - 6:30 pm Exhibit Hall Open 9:45 - 10:50 am Coffee Break in the Exhibit Hall with Poster Viewing 10:50 am - 12:30 pm Tracks 1-16 12:40 - 1:40 pm Luncheon Presentations (Sponsorship Opportunities Available) or Enjoy Lunch on Your Own 1:50 - 3:25 pm Tracks 1-16 3:25 - 4:00 pm Refreshment Break in the Exhibit Hall with Poster Viewing 4:00 - 5:30 pm Tracks 1-16 5:30 - 6:30 pm Best of Show Awards Reception in the Exhibit Hall with Poster Viewing 7:00 - 10:00 pm Bio-IT World After Hours @Lawn on D

THURSDAY, MAY 17, 2018 8:00 - 9:45 am Plenary Keynote Session, Benjamin Franklin and Best Practices Awards Programs 9:45 am - 1:55 pm Exhibit Hall Open 9:45 - 10:30 am Coffee Break in the Exhibit Hall and Poster Competition Winners Announced 10:30 am - 12:10 pm Tracks 1-16 12:20 - 1:20 pm Luncheon Presentations (Sponsorship Opportunities Available) or Enjoy Lunch on Your Own 1:20 - 1:55 pm Dessert Refreshment Break in the Exhibit Hall with Poster Viewing 1:55 - 4:00 pm Tracks 1-16 4 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS 2018 PLENARY KEYNOTE PRESENTERS

TUESDAY, MAY 15 | 4:00 - 5:00 PM WEDNESDAY, MAY 16 | 8:00 - 9:45 AM

4:00 Welcome Remarks 8:00 am Welcome Remarks Jerald S. Schindler, DrPH Cindy Crowninshield, RDn, LDN, HHC, Senior Conference Allison Proffitt, Editorial Director, Bio-IT World Vice President, Biostatistics, Alkermes, Inc. Director/Team Lead, Cambridge Healthtech Institute Sponsored by Sponsored by 8:05 Keynote Introduction Dr. Schindler is Vice President, Biostatistics at Alkermes, Inc. 4:05 Keynote Introduction where is serves as the global head of the Biostatistics and Jason Stowe, Principal Group Program Manager, Kurt Kuckein, Director, Marketing, Programming groups. These groups are responsible for the experimental Azure Specialized Compute, Microsoft DDN Storage design and analysis of all clinical trials and for the analysis of associated observational data at Alkermes. Previously, he was the global leader of 4:15 Plenary Keynote Presentation 8:15 Plenary Keynote Session Data Science Panel the Clinical Biostatistics groups at Merck Research Laboratories. Earlier, Skipping the Landline - Creating a New Allison Proffitt, Editorial Director, Bio-IT World (Moderator) he was the Chief Statistician and Global Head of Biostatistics and Clinical Healthcare Ecosystem Spanning Population Technology at Wyeth Research. During his career, he has contributed Health to Individualized Care Tanya Cashorali to over 30 successful regulatory approvals in USA, Europe, and Japan. Founder, TCB Analytics Dr. Schindler has also been active in helping to build an environment for collaboration among statisticians in industry, government, and academia. Mark Boguski, MD, PhD Tanya Cashorali is the founder of TCB Analytics, a He has been the global chair of the Statistics Community within DIA and Executive Vice President and Chief Medical Boston-based data consultancy. At TCB, she works with has helped to start the Scientific Working groups also within DIA. In addition Officer, Liberty BioSecurity pharmaceutical and healthcare organizations to empower to his industry activities, Dr. Schindler is Adjunct Professor of Biostatistics scientists and providers with self-service data visualization and analytics Incumbent technologies, legacy processes at the Harvard Chan School of Public Health. He received BS and MS solutions. Prior to launching TCB Analytics, she worked in data science roles and old economic models are serious degrees from Georgetown University and a doctorate in Biostatistics from at organizations across Boston, including Biogen, Dana-Farber, Children’s barriers to innovation and change. My presentation will the University of North Carolina, at Chapel Hill. describe how a small team of industrialists, technologists, Hospital, and Partners Healthcare. Tanya designed and helped launch the national security experts and physician-entrepreneurs, in first data science curriculum at Northeastern University’s Level Education. Lihua Yu, PhD She also serves on the teaching staff and advisory board at Startup Institute, Thailand and the United States, are creating the engines Chief Data Science Officer, H3 Biomedicine that will power a new paradigm of precision medicine and and recently launched a community-based user group for cross-industry data population health. scientists and analysts. Dr. Yu is driving the expanded use of data and technology by developing a leading data science, cancer genomics, Liberty Chief Medical Advisor, Dr. Mark Boguski, MD, PhD John Reynders, PhD and information sharing engine. Before coming to H3 has extensive experience across the life sciences value Biomedicine, Dr. Yu spent 12 years with AstraZeneca’s research and chain as an executive in the biotechnology, diagnostics and Vice President, Data Sciences, Genomics, and Bioinformatics, Alexion Pharmaceuticals, Inc. development unit. Lihua received a BE in biomedical engineering and a BE pharmaceutical industries. Mark has served on the faculties in automation from Tsinghua University in Beijing. She earned her Master of of Harvard Medical School, the Johns Hopkins University Dr. Reynders leads a team focused upon applying Engineering from Tsinghua University and a PhD from Boston University. School of Medicine and the U.S. National Institutes of Health. capabilities to map the rare-disease landscape; identify discovery, Mark has been an advisor to numerous medical research indication, and business development opportunities; and enable novel 9:45 Coffee Break in the Exhibit Hall with Poster Viewing organizations and is the recipient of many honors and insight into the size, global distribution, and genomic signatures of awards including elected membership in the U.S. National rare-disease patient populations. Dr. Reynders has more than 20 years Academy of Medicine. Mark is a former reviewing editor for of experience at the intersection of data and life sciences. Dr. Reynders Science and former Editor-in-Chief of Genomics. A global received a Bachelors, Summa Cum Laude, in Mathematics from Rensselaer continued on next page authority on cancer, in 2009 Forbes Magazine credited Mark Polytechnic Institute, a PhD in Applied and Computational Mathematics as the originator of the term ‘precision medicine’. from Princeton University, and a Masters of Business Administration from the Northwestern University Kellogg School of Management. 5:00 Welcome Reception in the Exhibit Hall with Poster Viewing

5 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS 2018 PLENARY KEYNOTE PRESENTERS

continued from previous page 9:00 Plenary Keynote Presentation Carl Zimmer, Award-winning Science Writer; Columnist, New York Times; Author of She THURSDAY, MAY 17 | 8:00 - 9:45 AM Has Her Mother’s Laugh (coming May 2018) Carl Zimmer is the author of 13 books about science. His newest book is She Has Her Mother’s Laugh: The Power, Perversions, and Potential of Heredity. His column, “Matter,” 8:00 am Organizer Remarks appears each week in the New York Times. Zimmer’s writing has earned a number of Cindy Crowninshield, RDn, LDN, HHC, Senior Conference Director/Team Lead, awards, including the 2016 Stephen Jay Gould Prize, awarded by the Society for the Study of Evolution Cambridge Healthtech Institute to recognize individuals whose sustained efforts have advanced public understanding of evolutionary science. In 2017, he won an Online Journalism Award for his series of articles in which he explored 8:10 Benjamin Franklin Awards and Laureate Presentation his genome. A professor adjunct at Yale University, Zimmer is a familiar voice on programs such as Radiolab. He lives in Connecticut with his wife Grace and their children, Charlotte and Veronica. He is, J.W. Bizzaro, Managing Director, Bioinformatics.org to his knowledge, the only writer after whom a species of tapeworm has been named. Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research Height and Intelligence: Exploring the Complexity and Controversy of Heredity Heredity has long been one of the foundations of society--but also the justification for some of 8:35 Bio-IT World Best Practices Awards the worst crimes in history. It has only been in the past century that scientists have begun to Allison Proffitt, Editorial Director, Bio-IT World work out some of its molecular details. But the mysteries and controversies over heredity have proved remarkably durable. In my talk, I’ll explore the history and current research into heredity 8:50 Keynote Introduction: Sponsored by of two traits--height and intelligence. They may seem at first to be polar opposites, but it turns out they actually share some remarkable similarities. Michael McManus, Principal Solution Architect, Sales Marketing Group, Intel Corporation 9:45 Coffee Break in the Exhibit Hall and Poster Competition Winners Announced

9:45 Book Signing She Has Her Mother’s Laugh Carl Zimmer, Award-winning Science Writer and Columnist, New York Times

6 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CAMBRIDGE HEALTHTECH INSTITUTE AND BIO-IT WORLD

2018 AWARDS PROGRAMS Cambridge Healthtech Institute and Bio-IT World will RECOGNIZING AND CELEBRATING LEADERS IN INNOVATION again be recognizing and celebrating leaders in innovation through the following Awards Programs:

Bio-IT World Best Practices Awards Bio-IT World has held the Best Practices awards since 2003, highlighting outstanding examples of technology innovation in the life sciences, from basic R&D to translational medicine. We # # # particularly encourage vendors to nominate entries from valued academic and/or industry partners. Winners will be announced during the plenary session at Bio-IT World Conference & Expo on Thursday, May 17. Deadline for entry is March 2, 2018. Full details including previous winners and entry forms are available at Bio-ITWorld.com/BestPractices

Bio-IT World Best of Show Awards The Best of Show Awards offers exhibitors of the Bio-IT World Conference and Expo an exclusive opportunity to distinguish and highlight their esteemed products ranging from an innovative # # # application, technology, tool, or solution from the competition. Judged by a team of leading industry experts and Bio-IT World editors, this awards program identifies exceptional innovation in technologies used by life science professionals today. Products considered are new products, or significant product upgrades, introduced between April 2017 and May 2018. Winners are judged based on the products’ technical merit, functionality, innovation, and in-person presentations to the judges at the show. Judging and the announcement of winners is conducted live in the Exhibit Hall on Wednesday, May 16. To learn more about this program, contact Ryan Kirrane at 781-972-1354 or email [email protected].

Benjamin Franklin Award The Benjamin Franklin Award for Open Access in the Life Sciences is a humanitarian/ bioethics award presented annually by the Bioinformatics Organization to an individual who has, in his or her practice, promoted free and open access to the materials and methods used in the life sciences. Nominations are now being accepted! The winner will be announced during the plenary session at Bio-IT World Conference & Expo on Thursday, May 17. Full details including previous laureates and entry forms are available at Bioinformatics.org/Franklin

7 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS 2018 PRE-CONFERENCE WORKSHOPS

Make the most of your time in Boston! Maximize your educational and networking opportunities by adding on one or more interactive, hands-on workshops. Covering some of the hottest topics in the field, these workshops are taught by leading researchers from industry and academia.

TUESDAY, MAY 15 | 8:00 - 11:30 AM TUESDAY, MAY 15 | 12:30 - 4:00 PM

W1. Data Management for Biologics: W4. Introduction to Scalable and W8. Automating Data Analysis W11. Data Science Driving Registration and Beyond Reproducible RNA-Seq Data Processing, with Excel Better Informed Decisions Instructors: Analysis, and Result Reporting Using Instructor: Brian Bissett, IT Specialist, IEEE USA Instructors: Monica Wang, PhD, Principal Bioinformatics AWS, R, knitr, and LaTex Ahmed Abdeen Hamed, PhD, Scientific W9. D2K, Transforming Data to Architect, Takeda Oncology Instructors: Knowledge Engineer, Scientific Information Peter Henstock, PhD, Senior Principal Scientist, Johannes Goll, Bioinformatics Director, The Emmes Knowledge with Cloud, IoT & Management: Data Platform, Merck & Co. Research Business Technologies, Pfizer Corporation Machine Learning (AI) – Part II Srinivasan Vairavan, PhD, Principal Scientist, Yuan Lin, Senior Manager, Biologics Business Travis Jensen, Bioinformatics Programmer, The Instructors: Integrative Solutions, Johnson & Johnson Partner, Pfizer Emmes Corporation Adrian Cartier, PhD, Seed Production and Bin Li, PhD, Director, Computational Biology, Takeda Pharmaceuticals Kevin Fisher, Client Services Lead, Biologics and W5. Data Visualization to Accelerate Customer Experience Data Science Director, Vaccines IT, Merck Research Labs, Kenilworth, NJ Monsanto Company Xiaoying Wu, M.D., MS, Director, RWE IT CoE & Jan Woerner, Business/System Analyst, Senior Biological Discovery Medical Informatics, Data Sciences, Janssen Kun He, PhD, Trait Analytics and Decision IT, Johnson & Johnson Scientist pRED Informatics, Innovation Center Instructor: Nils Gehlenborg, PhD, Assistant Science Lead, Monsanto Company Munich, Roche Diagnostics GmbH Professor, Department of Biomedical Informatics, Bino John, PhD, Computational Biology and W12. Bio-IT IOT Workshop: Harvard Medical School W2. Common Statistical Mistakes to Systems Biology Group Leader, Dow-Dupont Accurate Data for Good Decisions Avoid for Data Scientists W6. An Intro to in Life Ag Division Instructor: Instructors: Sciences Sebastien Lefebvre, Senior Director Data David Iyoha, Director, Software Solutions, Ray Liu, PhD, Senior Director & Head, Statistical Instructors: Analytics & Decision Support, Alexion Fortech LLC Innovation & Consultation, Takeda Adrian Gropper, MD, CTO, Patient Privacy Rights Pharmaceuticals, Inc. Dr. Mansur Hasib, CISSP, PMP, CPHIMS, Program W13. Lab Informatics: An Insider’s Michael Kane, PhD, Assistant Professor of Biostatistics, John Van Hemert, PhD, Data Scientist, Dow- Chair, Cybersecurity Technology, The Graduate School, Guide to Project Success Yale University Dupont Ag Division University of Maryland University College (UMUC) Instructor: Jeff Policastro, Vice President, Lauren Cain, PhD, Principal Statistician, Takeda; Visiting Artur Veloso, PhD, Investigator II, Novartis Strategy, Professional Services, Astrix Technology Scientist, Harvard T.H. Chan School of School of Public W7. Containerizing Applications Institutes for BioMedical Research Group, New Jersey Health and Workflows for Large-Scale W10. Digital Biomarkers in Pharma W14. Bootstrapping Your Life W3. D2K, Transforming Data to Reproducible Science R&D: Technical Challenges Knowledge with Cloud, IoT & Machine Instructors: and Strategies for Advancing Science Startup - The Good, Learning (AI) – Part I Adam Kraut, Director, Infrastructure and Cloud Personalized Medicine the Bad and the Ugly Instructors: Instructors: Architecture, BioTeam, Inc. Instructor: Peter Bergethon, Head, Quantitative Paimun (PJ) Amini, Ag Productivity IT Lead (R&D and Angel Pizarro, Manager, Technical Business Medicine and Clinical Technologies, Biogen Stan Gloss, Founding Partner, CEO, BioTeam, Inc. Commercial), Monsanto Company Development, Amazon Web Services (AWS) Amir Lahav, ScD, Digital Innovation and Pubali Chakravorty-Campbell, Vice President, Tim Gardner, CEO & Founder, Riffyn, Inc. Jeff Gentry, Senior Principal Software Engineer, Neuromuscular Lead, Rare Disease Research Business Operations & Organizational David Messina, PhD, Chief Operating Officer, Broad Institute Unit, Pfizer Development, Human Resource Partners Cofactor Genomics Paolo Di Tommaso, Research Software Engineer, Srinivasan Vairavan, PhD, Principal Scientist, Jason Stowe, Principal Group Program Daniel Robertson, PhD, Research Fellow and Vice Center for Genomic Regulation (CRG) Integrative Solutions, Neuroscience, Johnson Manager, Azure Specialized Compute, Microsoft President of Digital Technology, Indiana Biosciences & Johnson Research Institute Mark Sparks, Director of Product Management and Larsson Omberg, Vice President, Systems Design in IT, Monsanto Company Biology, Sage Bionetworks 8 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Data & Storage Management TRACK 1 Infrastructure and Storage Solutions to Enable Discovery and Ease Data Bloat

The unprecedented growth of data generation and research storage isn’t slowing down anytime soon. As such, storage is becoming a major cost element in the genomic IT world where organizations are spending millions on systems and platforms. The role of data engineering is critical in orchestrating, configuring, managing, and monitoring solutions to manage the data bloat problem. Track 1 assembles thought leaders and organizations from data centers and “centers of excellence” who have pioneered advances in large-scale data management, predictive analytics, and workflow automation. Presentations will focus on people, process and technology issues related to storage platforms, integration and migration plans, architectures, governance, and scalability.

TUESDAY, MAY 15 11:00 Business and Research Responses to the Changing 12:15 Storage Systems that Support Sponsored by Legal Environment for Data Management Tomorrow’s Life Science Applications Today 7:00 am Workshop Registration Open and Morning Coffee John M. Conley, JD, PhD, William Rand Kenan, Jr. Professor of David Hiatt Director, Product Marketing, Marketing, Law, University of North Carolina, Chapel Hill; Counsel, Robinson WekaIO 8:00 – 11:30 Recommended Morning Pre-Conference Bradshaw & Hinson Research has become increasingly compute intensive. While new Workshops* We are in the midst of major legal changes affecting data tools and analytical processes such as AI and deep learning hold great promise, they stress the supporting IT infrastructure beyond W6. An Intro to Blockchain in Life Sciences collection, storage, transfer, and use. This talk reviews U.S. and European regulations that will take effect in early 2018 regarding the expectations of system designers. Learn how today’s storage the collection and transfer of health data as well as patient access systems leverage software to deliver the performance, scale, and 12:30 – 4:00 pm Recommended Afternoon to raw genomic data. How should Bio-IT companies and institutions cost efficiencies for applications. Pre-Conference Workshops* respond? Who needs to worry and what should they do? W12. Bio-IT IOT Workshop: 12:30 Session Break Accurate Data for Good Decisions 11:30 A Reusable Cloud-Based Infrastructure for Growing 12:40 Luncheon Presentation I: Sponsored by * Separate registration required. Please see page 8 for details. Biotechs Addressing the Big Data Challenges in John Keilty, General Manager, Platform Operations, Third Rock Ventures Genomics and BioImaging 2:00 – 6:30 Main Conference Registration Open Karina Chmielewski, Senior Director, Platform Operations, Third Linda Zhou, Director, Research and Life Sciences Solutions, Western Rock Ventures Digital 4:00 PLENARY KEYNOTE SESSION Managing disparate sources of data has become a prevalent We will cover the Data challenges in both Genomics and BioImaging, Please see page 5 for details. issue in the industry. The companies hit the hardest are the small, including data growth and scale, the need for both collaboration growing biotechs who attempt to rapidly scale innovative science and security, and the hybrid cloud processing requirements. We will but lack the formal infrastructure to get past these logistical describe best practices for cloud scale storage solutions to address 5:00 – 7:00 Welcome Reception in the Exhibit Hall with hurdles. This presentation will address these issues and provide Poster Viewing these challenges, with example architectures from real customers in a case study on how Third Rock Ventures, a veritable expert on Genomics and BioImaging research. launching biotech startups, is addressing this common problem. WEDNESDAY, MAY 16 1:10 Luncheon Co-Presentation II: Sponsored by 12:00 pm Internet2: Leveraging Distributed Sponsored by Data Storage Benchmark Results for NGS Resources to Speed Discovery 7:00 am Registration Open and Morning Coffee and CryoEM Research Dan Taylor, Director, Business Development, Network David Sallak, Vice President, Industry Solutions, Panasas, Inc. Services, Internet2 8:00 PLENARY KEYNOTE SESSION Adam Marko, Senior Scientific Consultant, BioTeam, Inc. Please see page 5 for details. Few Life Sciences organizations take advantage of the vast resources available to R&D organizations for continuous Panasas and BioTeam will share benchmark results impacting NGS and CryoEM research. The Benchmarks were performed 9:45 Coffee Break in the Exhibit Hall with Poster Viewing innovation and keeping pace with big data. This session will discuss the infrastructure underlying collaborations that use at the BioTeam Convergence Lab. BWA indexing of the human DATA MANAGEMENT: OVERCOMING LEGAL private, academic, and public resources – including commercial genome was performed for multiple simultaneous indexes and MATTERS AND OPERATIONAL BOTTLENECKS cloud and supercomputing centers storage and processing - to varying numbers of CPUs. The RELION application was used to maximize options and speed discovery. perform a 3D classification of a publicly available CryoEM dataset 10:50 Chairperson’s Remarks of a human malaria parasite ribosome. Vaughan Wittorff, PhD, Co-Founder & Chief Commercial Officer, 1:40 Session Break PetaGene Ltd.

9 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA & STORAGE MANAGEMENT CONTINUED TRACK 1

ARCHIVING AND MANAGING LARGE DATA 3:25 Refreshment Break in the Exhibit Hall with Poster THURSDAY, MAY 17 VOLUMES Viewing 7:30 am Registration Open and Morning Coffee 1:50 Chairperson’s Remarks DATA INTEGRATION Rachana Ananthakrishnan, Head of Products, Globus - University of 8:00 PLENARY KEYNOTE SESSION Chicago 4:00 How the pRED Data Commons Facilitates Integration of –omics Data & AWARDS PROGRAM 1:55 Managing Scientific Data Intelligently with iRODS Jan Kuentzer, PhD, Principal Scientist, pRED, Roche Innovation Please see page 5 for details. John Jacquay, Scientific Systems Engineer, BioTeam, Inc. Center Munich Scientific instrumentation generates vast quantities of data that must Omics data increasingly influences clinical decision-making. be processed, analyzed, and stored according to organization policies. 9:45 Coffee Break in the Exhibit Hall and Poster Well-designed and highly integrated informatics platforms become The burden of managing this data grows larger every day. This talk will Competition Winners Announced essential for supporting structured data capturing, integration demonstrate how organizations can leverage the features of iRODS and analytics to enable effective drug development.This talk to setup automated bioinformatics pipelines, optimize data storage DESIGNING SECURE DATA NETWORKING presents principles and key learnings in designing such a platform, mediums and access patterns, share and collaborate on data, and and contrasts our current approach to previous approaches in 10:30 Chairperson’s Remarks provide intelligent insight via data visualizations. biomedical informatics. Finally, I will provide insights into the Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- 2:25 Globus: Secure, Scalable Research Data Management implementation of such a platform at Roche. Performance Integrated Virtual Environment (HIVE), FDA Infrastructure for Life Sciences 4:30 SELECTED POSTER PRESENTATION: Making the Most of 10:40 Healthcare Data Exchange Framework: Scalable Rachana Ananthakrishnan, Head of Products, Globus, University of Rare Data: Contextualizing Rare Data and Research Through Economy of Secure Information and Services Chicago Semantic Technologies Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- The Globus service supports over 80,000 investigators in multiple Robert Stanley, President and CEO, Melissa Informatics Performance Integrated Virtual Environment (HIVE), FDA disciplines, who depend on its reliable, secure, file transfer, sharing, This project demonstrates a unique framework that enables digital and data publication capabilities to streamline research workflows Sponsored by 5:00 PetaSuite Compression Cloud Edition - transformation of healthcare at a scale that was not possible and simplify collaboration. We present use cases from genomics, Get the Most Out of Hybrid Cloud and before. Healthcare Data Exchange Framework has a potential to imaging, and other biomedical research fields, and describe how Radically Simplify Migration liberate data, empower patient ownership of data and create a free recent enhancements to the service make Globus suitable for use market where data assetization and securitization might serve as in protected data environments. Dan Greenfield, PhD, Co-Founder & CEO, PetaGene Launching at Bio-IT World 2018, PetaSuite Cloud Edition (CE) incentives for data sharing. Sponsored by 2:55 Real-World Use Cases for High-Performance combines two innovations: (i) the ability for a user’s software tools 11:10 Healthcare Security Framework Storage Accelerating Life Sciences Research and pipelines to seamlessly integrate with a wide variety of cloud Jim McGinnis, PhD, Assistant Professor, Engineering Technology, George Vacek, PhD, Global Director, Life Sciences, DDN platforms without modification, and (ii) significantly improved, The University of Memphis Storage high-performance, scalable PetaSuite genomic compression Healthcare is in a vulnerable position for infiltration or hacking of This session features in-depth case studies of leading life sciences technology with streaming of the compressed data for transparent data. Sensitive patient data, financial data of the entity and insurance organizations that are leveraging high-scale data solutions for on-the-fly decompression during use. information are just some of the data that needs to be protected. The genomics, imaging and simulation workflows. These focus on National Institute of Standards and Technology (NIST) has provided implemented solutions including: capturing and exploiting large 5:30 Best of Show Awards Reception in the Exhibit a Cybersecurity framework for general purposes. In the paper we will scale data at speed; regulated and non-regulated stewardship research some of the underlying layers of Cybersecurity that pertain considerations; transitioning from non-scaling architectures; and Hall with Poster Viewing to Healthcare. This research hopes to provide a concise framework bringing the benefits of high-end HPC technologies into smaller for healthcare providers to use as a guideline for incorporating their deployments and collaborative scenarios. 7:00 – 10:00 Bio-IT World After Hours @Lawn on D own cybersecurity and to help in engaging cybersecurity third-party 3:10 Bringing Machine Learning to Imaging Sponsored by Sponsored by companies for assistance. The five layers of the NIST framework, Co-hosted by Identify, Protect, Detect, Respond and Recover, leave healthcare Clinical Practice by Deploying a Data Platform M Esteban Rubens, Global Enterprise Imaging Principal, Pure Storage organizations with a large amount of inhouse examinations in order to protect the data of the organization. While the organization must There is great interest in using machine learning to enhance human be diligent in the protection of the data, use of outside resources is a diagnostic ability across many areas of healthcare. The common must in providing the utmost due diligence for the protection of the denominator in all successful implementations of this technology patient data, financial/insurance data of the patient and the entity as a is the training of models with robust and abundant annotated data. whole. This document will attempt to build and expound on the NIST In this session we will discuss how IT infrastructure can support the framework to provide additional guidance to healthcare providers. timely and efficient training of these models.

10 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA & STORAGE MANAGEMENT CONTINUED TRACK 1

UNIVERSAL-SCALE DATA STORAGE 2:05 – 4:00 PANEL SESSION: BioTeam Town Hall: 11:40 A Modern Approach to Data Storage Sponsored by 2018 Bio-IT Trends for Next Generation Sequencing & Chris Dwan, Senior Technologist and Independent Life Sciences Medical Imaging Consultant (Moderator) Steve Noel, Principal Systems Engineer, Qumulo Ari Berman, PhD, Vice President and General Manager of Consulting Services, BioTeam, Inc. File storage is a critical component of the life sciences research Tanya Cashorali, Founder, TCB Analytics workflow. For researchers to be able to do their work, their storage must be able to scale to and handle billions of files efficiently. They Kristen Cleveland, PMP, Director of Operations, BioTeam, Inc. must also be able to access their research data from anywhere in Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, the world. Learn how universal-scale file storage allows research BioTeam, Inc. organizations to manage massive, globally distributed file sets Karl Gutwin, PhD, Senior Scientific Consultant, BioTeam, Inc. with ease. Adam Kraut, Director of Infrastructure and Cloud Architecture, BioTeam, Inc. 11:55 Sponsored Presentation (Opportunity Available) Since 2010, the “Trends in the Trenches” presentation, given 12:10 pm Session Break by Chris Dagdigian, has been one of the most popular annual traditions on the Bio-IT Program. The intent of the talk was to 12:20 Luncheon Presentation (Sponsorship Opportunity deliver a candid (and occasionally blunt) assessment of the best, Available) or Enjoy Lunch on Your Own the worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation tried to recap the prior year 1:20 Dessert Refreshment Break in the Exhibit Hall with by discussing what has changed (or not) around infrastructure, Poster Viewing storage, computing, and networks. This presentation has helped scientists, leadership, and IT professionals understand the basic FEATURED SESSION: BIOTEAM TOWN HALL topics involved in supporting data intensive science. In 2017, the “Trends in the Trenches” presentation evolved and expanded from 1:55 Sponsor Introduction Sponsored by 60 minutes to 120 minutes and featured more content, speakers, Scott Jeschonek, Director, Cloud Services, Avere Systems and interactive discussion. We will continue this format for 2018, featuring short, focused podium talks on current trends related to computing, storage/data transfer, networks, cloud and managing successful IT projects. An interactive Q&A moderated discussion with the audience follows. Come prepared with your questions and commentary for this informative and lively session.

4:00 Conference Adjourns

11 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Data Computing TRACK 2 Advances in Computing Applications for Big Data

There is an increased demand in computing power from life science researchers and scientists in genomics tackling big data issues. Track 2 explores techniques and new methods of data transfer and workflows. Themes covered include but aren’t limited to workforce and equipment mobility, HPC across the enterprise vs. HPC as a service, reconfigurable hardware for HPC and Hadoop.

TUESDAY, MAY 15 11:00 Sequence. Store. Sign Out: Implementing Hail, Kudu workload orchestration and converged HPC with deep learning. We and Spark for a Clinical NGS Platform will also demonstrate the four key values of HPDA with client case studies -- high performance, low cost, easy of use and collaborative. 7:00 am Workshop Registration Open and Morning Coffee Ramesh Sringeri, Senior Applications Developer, Mobile Solutions, Children’s Healthcare of Atlanta 1:10 Luncheon Presentation II (Sponsorship Opportunity 8:00 – 11:30 Recommended Morning Pre-Conference In 2017, Children’s Healthcare of Atlanta undertook Next- Available) Generation Sequencing (NGS) as a new initiative. Using open- Workshops* source tools such as Hail, Apache Spark and Apache Kudu, 1:40 Session Break W4. Introduction to Scalable and Reproducible RNA- Children’s built a robust, scalable and secure platform to support Seq Data Processing, Analysis, and Result Reporting NGS in the clinical setting. Tools utilized on top of this platform DATA MANAGEMENT AND ANALYTICS: ENABLING Using AWS, R, knitr, and LaTex will be described in a separate talk by Dr. Alexis Carter, Physician DATA SCIENCE AND MACHINE LEARNING Informaticist, Children’s Healthcare of Atlanta. 12:30 – 4:00 pm Recommended Afternoon 1:50 Chairperson’s Remarks 11:30 Robust Multi-Array Average (RMA) Using Spark Pre-Conference Workshops* Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, Michael Neylon, Senior Analyst, Eli Lilly and Company H2O.ai W8. Automating Data Analysis with Excel Robust Multi-Array Average (RMA) is a well-established method for * Separate registration required. Please see page 8 for details. normalizing transcriptome data involving background correction, 1:55 On the Journey towards a New Assay Data Analysis quantile normalization, annotation and media polish. However, Landscape 2:00 – 6:30 Main Conference Registration Open this method has never been deployed to a scalable architecture Joerg Degen, PhD, Project Leader Research Informatics, Roche suitable for high throughput, large volume processing of samples. Over the past two years, we have fundamentally modernized We show an implementation using Spark and Amazon Web our landscape for assay data analysis in order to strengthen 4:00 PLENARY KEYNOTE SESSION Services (AWS) that is linearly scalable, cost effective and the ability of our scientists to access and interpret all relevant Please see page 5 for details. outperforms standard RMA deployments. data more efficiently, and to collaborate more effectively. In this Sponsored by context, we have refactored some of our foundational systems 5:00 – 7:00 Welcome Reception in the Exhibit Hall with 12:00 pm Genomics Analysis - Improving Scale, and significantly increased our capabilities in the areas of data Poster Viewing Speed and Ease of Deployment analysis and application of predictive models. Lee Lichtenstein, Associate Director, Somatic Computational Methods, Data Sciences Platform, 2:25 AI and Health: A Data and Process Approach WEDNESDAY, MAY 16 Broad Institute Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, H2O.ai 7:00 am Registration Open and Morning Coffee Intel has worked with the industry leader, Broad Institute of MIT There has been a lot of hype recently regarding AI in Health and and Harvard, to optimize and provide a deployment receipt to Life Sciences. Sanjay will present an introduction to a use-case implement the required infrastructure to analyze the rapidly based approach -- he will cover the broad categories of financial, 8:00 PLENARY KEYNOTE SESSION increasing sequencing data. Hear what optimizations have been operational and clinical use-cases. The learning objectives are Please see page 5 for details. done, the technology utilized, and understand the tools that have practical, business-oriented Machine Learning and Deep Learning been created in the solution. with specific focus on the data and processes involved. Summary 9:45 Coffee Break in the Exhibit Hall with Poster Viewing results from two specific clinical use-cases will be presented. 12:30 Session Break Sponsored by DATA MANAGEMENT AND ANALYTICS: Sponsored by 2:55 Project Asaka, Harnessing Underutilized 12:40 Luncheon Presentation I: High Computing Resources for Deep Learning PLATFORMS & TOOLS Performance Data & AI for Genomics Jack Harwood, Distinguished Engineer Office, CTO, Dell EMC 10:50 Chairperson’s Remarks Frank Lee, PhD, Global Industry Leader for Healthcare Maximizing application performance through GPUs and FPGAs Raj Gondhali, Vice President,Client Success, Saama Technologies Life Sciences, Chief Architect, IBM, Reference Architecture for (aka ‘accelerators’) is not new for genomics workflows. Recent Genomics, Member of IBM Storage CTO Office, IBM Systems Group advances in machine and deep learning methods leverage the Through real use cases and live demo, we will illustrate the accelerators to operate on larger data sets in an ever shrinking architecture and solution for high performance data and AI time span. platforms, deployed for cloud-scale data management, multi-cloud 12 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA COMPUTING CONTINUED TRACK 2

3:10 A Modern Approach to Data Storage for Sponsored by 5:30 Best of Show Awards Reception in the Exhibit 12:10 pm Session Break Next Generation Sequencing & Medical Imaging Hall with Poster Viewing 12:20 Luncheon Presentation (Sponsorship Opportunity Peter Godman, Co-founder & CTO, Qumulo Available) or Enjoy Lunch on Your Own File storage is a critical component of the life sciences 7:00 – 10:00 Bio-IT World After Hours @Lawn on D research workflow. For researchers to be able to do their Sponsored by 1:20 Dessert Refreshment Break in the Exhibit Hall with Co-hosted by Poster Viewing work, their storage must be able to scale to and handle M billions of files efficiently. They must also be able to access their research data from anywhere in the world. FEATURED SESSION: BIOTEAM TOWN HALL Learn how universal-scale file storage allows research 1:55 Sponsor Introduction Sponsored by organizations to manage massive, globally distributed file THURSDAY, MAY 17 Scott Jeschonek, Director, Cloud Services, Avere Systems sets with ease. 7:30 am Registration Open and Morning Coffee 3:25 Refreshment Break in the Exhibit Hall with Poster Viewing 8:00 PLENARY KEYNOTE SESSION 2:05 – 4:00 PANEL SESSION: BioTeam Town Hall: WORKFLOW MANAGEMENT: AUTOMATION AND & AWARDS PROGRAM Please see page 5 for details. 2018 Bio-IT Trends PROVENANCE Chris Dwan, Senior Technologist and Independent Life Sciences Consultant (Moderator) 4:00 Chairperson 9:45 Coffee Break in the Exhibit Hall and Poster Ari Berman, PhD, Vice President and General Manager of Consulting Brian Bissett, IT Specialist, IEEE USA Competition Winners Announced Services, BioTeam, Inc. 4:00 Informatics at a Digital Biotech WORKFLOW Tanya Cashorali, Founder, TCB Analytics Kristen Cleveland, PMP, Director of Operations, BioTeam, Inc. Dave Johnson, PhD, Director, Informatics, Moderna Therapeutics 10:30 Chairperson’s Remarks Moderna Therapeutics has built a novel integrated informatics Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, Susan Roberts, Senior Director, Scientific Computing, Vertex platform to capture data, drive automation, and deliver insight BioTeam, Inc. Pharmaceuticals to researchers. We’ll share our platform architecture, design Karl Gutwin, PhD, Senior Scientific Consultant, BioTeam, Inc. considerations, deployment philosophy, and success stories, 10:40 A New qPCR Workflow: How Much Information Have Adam Kraut, Director of Infrastructure and Cloud Architecture, including the use of AWS autoscaling servers to process spikes in We Missed Out? BioTeam, Inc. computational workflows. Computation tools that are utilized on top Matteo Cassotti, PhD, Data and Workflow Scientist, Roche Since 2010, the “Trends in the Trenches” presentation, given of this platform will be described in a separate talk by Iain McFadyen, by Chris Dagdigian, has been one of the most popular annual Senior Director, Computational Sciences, Moderna Therapeutics. This talk will discuss overcoming hurdles afflicting the qPCR workflow for LNA-containing oligonucleotides in the recently traditions on the Bio-IT Program. The intent of the talk was to 4:30 Reproducible Bioinformatics Software Management established RNA Therapeutics Research Unit at Roche. deliver a candid (and occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies with GNU Guix 11:10 Architecting and Delivering a Comprehensive (IT) for life sciences. The presentation tried to recap the prior year Ricardo Wurmus, System Administrator/Software Developer, Biologics Data Systems to Enable Data Driven Molecule by discussing what has changed (or not) around infrastructure, Bioinformatics Platform, Max Delbrück Center for Molecular Design and Discovery storage, computing, and networks. This presentation has helped Medicine, Berlin scientists, leadership, and IT professionals understand the basic Jayanthi Subramani, Senior Manager, Research and Development We will introduce functional package management with GNU Guix, topics involved in supporting data intensive science. In 2017, the Informatics(R & DI), Amgen demonstrate some of the benefits it enables for research, such as “Trends in the Trenches” presentation evolved and expanded from reproducible software deployment, workflow-specific profiles, and Amgen has developed a comprehensive data system that enables 60 minutes to 120 minutes and featured more content, speakers, user-managed environments, and share our experiences with using execution of “high throughput biologics”. The platform is flexible and interactive discussion. We will continue this format for 2018, GNU Guix for bioinformatics research at the Max Delbrück Center. to support the greater sample numbers, biological complexity featuring short, focused podium talks on current trends related to We will also compare the properties and guarantees of functional and molecular diversity required for large molecule discovery. computing, storage/data transfer, networks, cloud and managing package management with the properties of other application The accessible data architecture supports advanced self-service successful IT projects. An interactive Q&A moderated discussion deployment tools such as Docker or Conda. analytics capabilities and drives broad organizational decision with the audience follows. Come prepared with your questions and processes. commentary for this informative and lively session. 5:00 SELECTED POSTER PRESENTATION: In Vivo PK Workflow 11:40 Using Agile Techniques in Wet Labs to Speed the Andrew Lemon, CEO, The Edge Software Consultancy Ltd. Creation of Even More Big Data 4:00 Conference Adjourns Bruce Kozuma, Principal System Analyst, Broad Information Technology Services, The Broad Institute of MIT and Harvard 13 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS FAIR Data for Genomic Applications TRACK 3 Making Data More Findable, Accessible, Interoperable, and Reusable

The volume of life science data, particularly genomic data, continues to rise exponentially, but the capacity for fully making use of this data is being hampered by a series of limitations. FAIR is a very powerful initiative that has taken root primarily in Europe, but which has the potential to significantly increase the value of genomic data sets. One of the keys to making data more findable, accessible, interoperable and reusable is to make use of unique, permanent and universally accepted identifiers and , which then translates into the ability to link different data sets semantically and draw useful inferences and learnings. This event, which complements the Bio-IT Hackathon, which launched last year, brings together academic, government and commercial end-users who are pioneering the use of FAIR data, with specific examples of how its use is enhancing the value of the data for specific applications. Applications in research, translational drug development and clinical results will be covered.

TUESDAY, MAY 15 11:00 FAIR in the Context of Data Stewardship and the TOOLS FOR FAIR DATA FAIRification Process 1:50 Chairperson’s Remarks 7:00 am Workshop Registration Open and Morning Coffee Erik Schultes, PhD, Dutch Techcentre of Life Sciences Tom Plasterer, PhD, U.S. Cross-Science Director, R&D Informatics, The emerging field of Data Stewardship attempts systematize AstraZeneca Pharmaceuticals, Inc. 8:00 – 11:30 Recommended Morning Pre-Conference the constellation of (seemingly unrelated) housekeeping duties Workshops* associated with data creation and reuse. The FAIR Principles 1:55 Datasets2Notebooks: Systematic Interactive Reports W5. Data Visualization to Accelerate Biological offer guidance in achieving good Data Stewardship that is generic to Enrich Biomedical Data Repositories to particular data types and knowledge domains. I will explain Avi Ma’ayan, PhD, Professor, Department of Pharmacological Discovery the original intent and rationale behind the 15 FAIR Principles, Sciences and Director, Mount Sinai Center for Bioinformatics, Icahn by placing them in the larger context of the goals of Data 12:30 – 4:00 pm Recommended Afternoon Pre- School of Medicine at Mount Sinai Stewardship. Conference Workshops* To make biomedical datasets Findable, Accessible, Interoperable W11. Data Science Driving Better Informed Decisions 11:30 Toward Metrics to Access and Encourage FAIRness and Reusable, Jupyter Notebooks provide an advent mean for making bioinformatics data analyses transparent and accessible * Separate registration required. Please see page 8 for details. Michel Dumontier, PhD, Department of Data Science, Maastricht University to both computational experts and novices. In a pilot project called Datasets2Notebooks, we developed a Jupyter Notebook While the FAIR (Findable, Accessible, Interoperable and Reusable) generator. The notebook generator allows users to easily create, 2:00 – 6:30 Main Conference Registration Open principles have enjoyed rapid adoption, questions remain as store and deploy live Jupyter Notebooks containing analyses to what it means to be FAIR and how to assess FAIRness. I will of large biomedical datasets on a cloud-based infrastructure. discuss recent developments to establish robust infrastructure 4:00 PLENARY KEYNOTE SESSION Through an intuitive web interface, novice users can rapidly to facilitate the assessment of the FAIRness of different digital Please see page 5 for details. generate tailored reports to analyze their own data, or data from resources. the public domain. Notebooks are findable through a web portal, 5:00 – 7:00 Welcome Reception in the Exhibit Hall with 12:00 pm KEYNOTE PRESENTATION: Update on and made accessible from a dedicated URL. Furthermore, by Poster Viewing Developments for FAIR and the GO FAIR Initiatives relying on Docker and Google’s Kubernetes as the cloud platform for notebook deployment, the reusability of such digital objects is Barend Mons, PhD, Dutch Techcentre for Life Sciences guaranteed. By combining an intuitive user interface for notebook WEDNESDAY, MAY 16 The FAIR Data Principles were conceived in a multi-stakeholder generation with the option to provide custom analysis scripts, workshop held at Leiden University in January 2014. Since this Datasets2Notebooks addresses computational needs of both 7:00 am Registration Open and Morning Coffee time, the Principles have been widely adopted by both public and experimentalists and computational biologists. private organizations with interests in both Open and Closed data. I will cover the these developments with particular focus on the GO 2:25 Dataset Catalogs as a Foundation for FAIR Data 8:00 PLENARY KEYNOTE SESSION FAIR initiative, a rapid implementation framework supporting the Tom Plasterer, PhD, U.S. Cross-Science Director, R&D Informatics, Please see page 5 for details. development of the of FAIR data and services. AstraZeneca Pharmaceuticals, Inc. 12:30 Session Break BioPharma and the broader research community is faced with the 9:45 Coffee Break in the Exhibit Hall with Poster Viewing challenge of simply finding the appropriate internal and external 12:40 Sponsored Presentation (Opportunity Available) datasets for downstream analytics, knowledge-generation and OVERVIEW OF FAIR PRINCIPLES collaboration. With datasets as the core asset, we wanted to 1:40 Session Break promote both human and machine exploitability, using web-centric 10:50 Chairperson’s Remarks data cataloguing principles as described in the W3C Data on the Barend Mons, PhD, Dutch Techcentre for Life Sciences Web Best Practices. To do so, we adopted DCAT (Data CATalog Vocabulary) and VoID (Vocabulary of Interlinked Datasets) for both

14 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS FAIR DATA FOR GENOMIC APPLICATIONS CONTINUED TRACK 3

RDF and non-RDF datasets at summary, version and distribution higher level of FAIRness. In this joint presentation, we will discuss densely linked appendices of figures and tables. Some publishers levels. Further, we’ve described datasets using a limited set of well- what ELIXIR is doing to make public data more FAIR and combine now refuse to consider supplementary files. In contrast, data vetted public vocabularies, focused on cross-omics analytes and this with showing examples of what the direct benefits are for tables and figures hosted under CC-BY license can better support clinical features of the catalogued datasets. data searching, browsing and visual analytics on the DISQOVER data reuse than copyrighted supplementary files. We advocate platform by making and using more FAIR internal, private or third Figshare and similar archives to achieve the articulation of article Sponsored by 2:55 Is Your Life Science Data “F-A-I-R”? party data. and datasets, and are experimenting with more semantic ways Paul Honrud, Founder, DataFrameworks, Dell EMC to link these files to conventional subscription publications. Open Sasha Paegle, Senior, Business Development Manager, Life Science licensing and separate hosting enable the publisher to offer & HPC, Dell EMC 5:30 Best of Show Awards Reception in the Exhibit standardized metadata and enable third party modeling using Dataframeworks and Dell EMC will discuss how a life science Hall with Poster Viewing standard languages and ontologies. Dataset combinations then organization can ensure its data is “F-A-I-R” using Dataframeworks lead to new Analysis publications. ClarityNow along with Dell EMC Isilon (file) and ECS (object) and 7:00 – 10:00 Bio-IT World After Hours @Lawn on D 11:40 Making Data More FAIR on the Cloud other storage technologies. Sponsored by Geraldine Van der Auwera, Associate Director, Outreach and Co-hosted by 3:25 Refreshment Break in the Exhibit Hall with Poster M Communications, GATK, Broad Institute Viewing The Broad Institute’s Data Sciences Platform builds and operates cloud-based platforms for sharing and analyzing data at scale. 4:00 Report-Out from Three Hackathon Projects THURSDAY, MAY 17 This talk will cover how the free, secure and open-source FireCloud Over the past two days project teams have worked on various platform makes data (1) more Findable through an ontologically data sets with two goals in mind. The first task was to evaluate 7:30 am Registration Open and Morning Coffee searchable Data Library, (2) more Accessible through Google’s the FAIRness of a given data set, comparing it to FAIR principles. identity and access management, as well as REST APIs for The second task was then to work on various modifications of programmatic access, (3) more Interoperable through the use of the data set that would improve the FAIRness of the information. 8:00 PLENARY KEYNOTE SESSION standardized analysis pipelines implemented as portable WDL Representatives from three of the project teams have been & AWARDS PROGRAM workflows, and (4) more Reusable through hosting of commonly selected to report out on the work that was done, and lessons Please see page 5 for details. used resources, convenient and powerful sharing options, and learned from the hackathon. application of a standardized Consent Ontology. 4:30 FAIRification of the Pistoia Ontology Mapping Project 9:45 Coffee Break in the Exhibit Hall and Poster 12:10 pm Session Break Ian Harrow, PhD, Project Lead for Pistoia Ontology Project Competition Winners Announced 12:20 Luncheon Presentation (Sponsorship Opportunity Ontologies and mappings between them underpin the successful application of and semantic technologies. The Pistoia PROMOTING WIDER USE OF FAIR DATA Available) or Enjoy Lunch on Your Own Ontologies Mapping project was established to make better use of 10:30 Chairperson’s Remarks 1:20 Dessert Refreshment Break in the Exhibit Hall with existing ontologies through better mapping tools and services. In Helena Deus, PhD, Director, Disruptive Technologies, Elsevier, Inc. Poster Viewing this presentation I will describe how the FAIR principles have been implemented in this project 1) to share guidelines for assessment 10:40 Setting a Course for FAIRness in Scientific Research APPLICATIONS OF FAIR DATA of ontologies, 2) to evaluate and identify the top performing Helena Deus, PhD, Director, Disruptive Technologies, Elsevier, Inc. ontology mapping tools and 3) to implement a prototype 1:55 Chairperson’s Remarks Ontologies Mapping service, working with EMBL-EBI. About 73% of researchers agree that sharing data is important. However, as many as 34% of researchers admit to not share their Tom Quaiser, PhD, Roche Pharmaceuticals 5:00 CO-PRESENTATION: Easier Integration and data at all. So where is the gap? Many (38% of those surveyed) 2:00 FAIR Data: Single Points of Truth and Integration of believe that there is no credit attached to sharing data. As Enrichment of Your Data by Making Public Data More FAIR Omics Data scientific biomedical data increases in both size and complexity, Hans Constandt, CEO, ONTOFORCE the lack of incentives and training needed to properly share Tom Quaiser, PhD, Roche Pharmaceuticals Chris Evelo, Maastricht University and ELIXIR experimental results is likely responsible for widening this gap. In early development and research (pRED) at Roche we are Public data has different levels of FAIRness. The higher the Some of the strategies that are in use - at Elsevier and elsewhere step-wise realizing a new way to build up a sustainable research FAIRness level of a data source, the easier it is to use this - to close the gap, will be discussed, with a special emphasis on informatics landscape, the pRED Data Commons. In this talk I am source for data integration and linking. One of the goals of genomic information and sharing sequencing results. presenting how we organize different data types and references the intergovernmental organization ELIXIR is to facilitate the information in a lean and agile way into Single Points of Truths improvement of finding and sharing data and exchange of 11:10 Taking the Load Off Supplementary Data (SPoT), and subsequently combine these to answer omics related expertise in life science. ONTOFORCE focusses on integrating and Myles Axton, PhD, Chief Editor, Nature Genetics questions. Ultimately, this will make data findable, accessible, linking public and private data by - in general - bringing data to a Research publications have become increasingly complex with interoparable and reusable or simply FAIR.

15 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS FAIR DATA FOR GENOMIC APPLICATIONS CONTINUED TRACK 3

2:30 Understanding the Variety of Biomedical Data: A 3:30 Interactive Data Selection with tranSMART Glowing Driver for FAIR Practices Bear in the Dutch National Health Research Infrastructure Ian Fore, PhD, Senior Biomedical Informatics Program Manager, Jan-Willem Boiten, PhD, Program Manager, Lygature Cancer Informatics, National Cancer Institute Health-RI (https://health-ri.org/) is being shaped into the Dutch Standardization of biomedical data is a best practice, but the national Research Infrastructure for personalised medicine & diversity of disciplines and the pace of new discovery are health research facilitating the research process from start to fundamental characteristics that must be accommodated. No one end. Health-RI unites existing research infrastructure initiatives person can grasp it all but standard ways to describe data across and solutions to one integrated FAIR data platform, largely based disciplines can enable the just in time understanding of data on open source tooling. A core component in this research relevant to a biomedical research problem. Approaches to data infrastructure is the open-source data integration platform discovery and indexing explored through NIH programs and as part tranSMART, which has seen huge adoption within pharmaceutical of various data commons will be described. These include efforts companies, public-private partnerships as well as in hospitals and to define a minimal metadata model to support data discovery clinical institutes for its powerful data integration and exploration use cases, and exploration of technologies such as schema.org to toolset targeted at the needs of translational scientists. However, define datasets at source. limitations in data modelling, scalability and a dated user interface have held user satisfaction back. This presentation will showcase 3:00 FAIRification Case Studies: Lessons Learned from how Health-RI has overcome these obstacles leveraging data Implementing the FAIR Principles in Pharmaceutical standards, the latest tranSMART Server version and the new Companies, Hospitals and Biobanks modern and intuitive tranSMART user interface Glowing Bear. Kees van Bochove, CEO, The Hyve 4:00 Conference Adjourns Implementation of the FAIR Data Principles is a crucial step for all organizations pursuing a (biomedical) data-driven strategy, both to improve the effectiveness of scientists and doctors as well as computerized aides and autonomous programs. This talk will provide a number of concrete examples of how various customers of The Hyve, including large pharma companies, biobanks and registries and national health data sharing initiatives, have employed data FAIRification strategies to improve the (re)usability of their healthcare and biology data, and of the open source software tools and standards that are used and being further developed for that purpose.

16 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Software Applications & Services TRACK 4 Tools That Best Utilize Data to Drive Scientific Decision Making

Track 4 explores the technology and tools that are used to connect data, applications, people, processes, and partners to ensure available, reliable, and actionable information for scientific decision making. Case studies will be presented that address how life science organizations address common problems in utilizing data including analytics, methods and standards, using open source, semantic technology, using in-house vs. customized commercial platforms, transparency, efficiency, security, and cost-effective solutions.

TUESDAY, MAY 15 11:00 Data Architecture and Integration in Pharmaceutical 12:30 Session Break Research Pathology: Guiding Principles, Solution Sponsored by 7:00 am Workshop Registration Open and Morning Coffee 12:40 Luncheon Presentation I: Democratizing Architecture and Technology Choices Access to the Broad’s GATK Best Practices Rohit Sharma, Senior Bioinformatics Architect, Bioinformatics and 8:00 – 11:30 Recommended Morning Pre-Conference Computational Biology, Genentech, Inc. Pipelines, Optimized and Certified across Workshops* The current software application that supports Research Platforms W2. Common Statistical Mistakes to Avoid for Data Pathology at Genentech is a bespoke monolith, with no standards Geraldine Van der Auwera, Associate Director, Outreach and Scientists around data collection, metadata management, master data Communications, Data Sciences and Data Engineering, Broad Institute management, or data integration. As we replace it with the next As genomic data generation explodes, so does the need for 12:30 – 4:00 pm Recommended Afternoon generation Pathology Informatics solution, we decided to have an workflows that are scalable, reproducible across infrastructures, Pre-Conference Workshops* upfront data architecture. In this session, we will explore the Data and empower researchers to apply cutting-edge analysis methods. Architecture of this new solution. We democratize access to such workflows by providing versions W13. Lab Informatics: An Insider’s Guide to Project of our production pipelines optimized for a range of platforms Success 11:30 Allotrope@Bayer – Enabling Disruptive Ways of and priorities (e.g. cost vs. speed), validated by our methods * Separate registration required. Please see page 8 for details. Collaboration & Innovation through Harmonization developers to ensure scientific equivalence. Henning Kayser, R&D IT, Scientific Development IT, Bayer 1:10 Luncheon Presentation II 2:00 – 6:30 Main Conference Registration Open Being a founding member of the Allotrope Foundation, Bayer is implementing strategically the Allotrope Framework to escort (Sponsorship Opportunity Available) scientific data throughout its complete lifecycle from method 1:40 Session Break 4:00 PLENARY KEYNOTE SESSION development over acquisition, processing, reporting, archiving Please see page 5 for details. to submission, using a common set of standard tools. Allotrope LAB APPROACHES TO ACTIONABLE DATA aims to make the intelligent analytical laboratory a reality. Tangible 5:00 – 7:00 Welcome Reception in the Exhibit Hall with examples of how this has already become a reality at Bayer and 1:50 Chairperson’s Remarks Poster Viewing will shape our future lab environment will be presented. Rich Lysakowski, PhD, Senior Business Analyst & Informatics Engineer, Astrix Technologies; Professor of Bioinformatics & Data Sponsored by 12:00 pm Preparing the Lab Today to Science, Network Technology Academy Institute WEDNESDAY, MAY 16 Become the Digital Lab of the Future 1:55 Lab & R&D Informatics Systems Selection - Quality 7:00 am Registration Open and Morning Coffee Arvind Ramakrishnan, Venture Leader, Cognizant Lab Insights, Life Sciences, Cognizant Practices Rich Lysakowski, PhD, Senior Business Analyst & Informatics Sponsored by 8:00 PLENARY KEYNOTE SESSION 12:15 Enterprise-Class Software Engineer, Astrix Technologies; Professor of Bioinformatics & Data Please see page 5 for details. Engineering - A Practical Path to Agility Science, Network Technology Academy Institute and Scalability in Life-Science Industry 9:45 Coffee Break in the Exhibit Hall with Poster Viewing Hamed Ahmadi, Director, Software Engineering & IT, Information 2:25 How Editas Is Using Modern Software to Transform R&D Technology, Guardant Health Michael Dinsmore, Associate Director, Informatics, Editas Medicine DATA AND STANDARDS APPROACHES FOR Life Science is solving some of the world’s hardest problems. 2:55 Operational Informatics: A Whole Lab Sponsored by STATISTICAL ANALYSIS While software is typically an integral part of the solution, a Approach to Actionable Data Insights few companies fully embrace innovative technologies and best 10:50 Chairperson’s Remarks practices in developing software & services. This talk breaks down Christopher Mueller, PhD, CTO, L7 Informatics the technical, cultural and industry challenges and offers a path From initial observations through groundbreaking discoveries, data to unlock the full potential of the industry using Enterprise-class powers science. However, many labs generate more data than they software development. can handle. New opportunities - “that’s odd” moments - are easily

17 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS SOFTWARE APPLICATIONS & SERVICES CONTINUED TRACK 4

lost in the clutter. An operational approach to data management are working on transferring more IT operations to the cloud. This BEL (http://bel.bio) is heavily dependent on unambiguously allows seamless tracking of all lab data, ensuring analyses that presentation will help you 1) understand how Cloud computing can defined terminologies and easy access to terms for BEL curators yield new insights are not just possible but routine. help you achieve business objectives; 2) determine if Cloud is right and users. Much of the effort in supporting the BEL.bio open for your organization; 3) decide if you want to move application source platform is related to collecting, converting and deploying 3:10 Leveraging Cloud-Based Platforms | Sponsored by to Cloud; 4) identify multiple techniques and strategies that terminologies in the BEL.bio API to support term completion and to Drive Data Strategy for the Life Sciences organizations can use and identify for successful SaaS delivery; search, equivalencing, and orthologization where appropriate. Alok Tayi, CEO, TetraScience 5) resolve multiple issues on the Cloud projects; 6) identify when These terminology services are also used in semantic validation of Life science companies want to accelerate drug discovery using SaaS is a good a solution for an organization; and 7) view a sample BEL Assertions to make sure BEL Assertion arguments match the data analytics and machine learning. Scientific data, however, Agile project through this approach and identify lessons learned. allowed semantic types in the BEL Language specification. In the is not centralized nor standardized and is fragmented: from near future, query support for hierarchically arranged terminologies like GO and Uberon will be added. instrumentation to CRO/CMOs to legacy software. Here, we will 5:30 Best of Show Awards Reception in the Exhibit discuss how biopharma companies are advancing their data 11:40 SELECTED POSTER PRESENTATION: strategies by deploying new data platforms. Hall with Poster Viewing From Knowledge Assembly to Hypothesis Generation in 3:25 Refreshment Break in the Exhibit Hall with Poster 7:00 – 10:00 Bio-IT World After Hours @Lawn on D Systems and Networks Biology Viewing Charles Tapley Hoyt, MSc, Research Fellow, Fraunhofer Institute for Sponsored by Co-hosted by Algorithms and Scientific Computing (SCAI) SOFTWARE ANALYSIS AND MODELING METHODS M The increase in throughput of heterogeneous, multi-modal, and 4:00 Advancing Clinical Pharmacology with an Analytics- multi scale data in the fields of psychiatry and neurodegeneration burdens interpretation. We describe a complete workflow for semi- Based and Performance-Driven PK/PD Platform THURSDAY, MAY 17 automatically extracting biomedical relations from the literature, Taylor Hamilton, Manager, Emerging Technology, Janssen R&D IT integrating structured knowledge, supporting reasoning over the Innovation Enablement, Johnson & Johnson results of data-driven, machine learning-based analysis, generating 7:30 am Registration Open and Morning Coffee Johnson & Johnson Global Clinical Pharmacology’s High hypotheses, and finally testing in the laboratory and clinic. Performance Pharmacometrics Platform combines standard and custom tools into a system for population PK/PD evaluations 8:00 PLENARY KEYNOTE SESSION 12:10 pm Session Break that’s both manageable to validate and flexible to change. In & AWARDS PROGRAM 12:20 Luncheon Presentation (Sponsorship Opportunity this presentation, see how the team responded to the needs of Please see page 5 for details. pharmacologists and pharmacometricians to create a system with Available) or Enjoy Lunch on Your Own both cloud-burstable computing and an intuitive UI. 9:45 Coffee Break in the Exhibit Hall and Poster 1:20 Dessert Refreshment Break in the Exhibit Hall with 4:30 Enabling Cloud-Based GxP Applications for Modeling Competition Winners Announced Poster Viewing and Simulation in Clinical Pharmacometrics Jobst Loeffler, PhD, IT Operations, Scientific Development IT, Bayer SEMANTIC TERMINOLOGY MANAGEMENT FOR SOFTWARE APPLICATIONS AND SERVICES: Business Services GmbH APPLICATIONS NEW AND SHINY TOOLS On-demand cloud computing is of high relevance for Clinical 10:30 Chairperson’s Remarks 1:55 Chairperson’s Remarks Pharmacometrics as well as for other business functions within Alice Starr, Bioinformatics Product Manager, Genentech William Hayes, PhD, CTO, BioDati Bayer which conduct projects with very high computing demands. 2:00 Sequence. Store. Sign Out: Clinical NGS Platform for Over the past months, we provided flexible and scalable computing 10:40 Expanding the Roche Knowledge Graph with Variant Interpretation and Sign Out resources in the cloud that are used by Clinical Pharmacometrics Semantic Terminology Management for complex modeling and simulation of virtual patients in a Alexis Carter, MD, Physician Informaticist, Department of Pathology Gunther Doernen, Senior Scientific Software Engineer, Research regulated environment. and Laboratory Medicine, Children’s Healthcare of Atlanta Informatics, Roche Pharmaceuticals In 2017, Children’s Healthcare of Atlanta undertook Next- 5:00 Increasing Productivity through Cloud Computing A pharmaceutical enterprise covers a large and diverse space Generation Sequencing (NGS) as a new initiative. Using open- Gurpreet Singh Kanwar, MBA, PMP, Project Manager, Information of knowledge objects that are referenced by all its divisions source tools and web technologies, Children’s built a robust, Management, NAV CANADA and external partners. To accelerate knowledge integration, we scalable and secure Clinical NGS Application for variant annotation introduced a new terminology management platform for Roche With increase in usage of cloud technology, organizations are and interpretation. The application has many unique features to Pharma Research and Early Development based on semantic looking to adapt to cloud technology and benefits in term of ease and speed the interpretation and annotation of variants. The productivity and profitability. Various version of clouds either technologies. open-source storage and pipeline will be described in a separate private, public or hybrid are available for usage. According to IDG 11:10 BEL.bio Semantic Terminology Services talk by Ramesh Sringeri, Senior Applications Developer, Mobile Enterprise’s 2016 Cloud Computing summary 56% of businesses Solutions, Children’s Healthcare of Atlanta. William Hayes, PhD, CTO, BioDati

18 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS SOFTWARE APPLICATIONS & SERVICES CONTINUED TRACK 4

2:30 Facilitating the Interpretation and Communication of in vivo Studies Results through Statistical Analysis and Visualization in R Shiny Alice Starr, Bioinformatics Product Manager, Genentech Our new in vivo data analysis tool is a fruit of a close collaboration between translational scientists, biostatisticians and software engineers. We are providing fit-for-purpose analyses for our scientists in the oncology and neuroscience groups, to facilitate the interpretation, comparison and communication of in vivo studies results. It has been built using the R Shiny framework, and using data from our existing preclinical data collection platform. 3:00 Designing Intuitive Software Applications for Life Scientists Nikiforos Karamanis, PhD, Lead User Experience Designer, Web Development, European Bioinformatics Institute, Genome Campus Although a software application that is intuitive can help scientists utilize data more easily and advance their research, there is little guidance on how to design such an application specifically for life scientists. We will discuss how we are designing intuitive applications for wet lab scientists at the European Bioinformatics Institute (EMBL-EBI) by engaging with our target users from the very earliest stages of design. 3:30 30M+ Papers to Read? Query AI with Points of Interest to Receive Distilled Hypotheses Roman Gurinovich, Systems Architect, R&D, sci.AI Traditional reading of all new papers published daily (~5k) can take a long time. To address this challenge, sci.AI algorithms extract facts from all the research communication worldwide every single day. Then you can ask AI: “Is there meaningful connection between GPR120 and Alzheimer’s disease?” and the platform will mimic human reasoning through the of extracted facts to return discovered pathways and support your research. 4:00 Conference Adjourns

19 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS TRACK 5 Cloud Computing Applying Cloud for Expanding Applications

Cloud computing has become the platform enterprises turn to for their application analysis as well as data storage. Data-intensive life scientists from biological researchers to biopharmaceutical organizations realize this practicality and necessity. Thus, adoption has been greater than anyone expected and users continue to expand applications. Through case studies, Track 5 explores the rapid growth and progressive maturation of cloud as well as evolving provider and user experiences.

TUESDAY, MAY 15 11:00 APIs All the Way Down: Security and Compliance 1:10 Luncheon Presentation II: Analyzing Sponsored by with Cloud Automation Genomic Data at Scale with Google Cloud 7:00 am Workshop Registration Open and Morning Coffee David Bernick, Director of Technology Operations, Data Sciences, Jonathan Sheffi, Product Manager, Genomics & Broad Institute Life Sciences, Google Cloud 8:00 – 11:30 Recommended Morning Pre-Conference Deploying to a cloud and keeping data safe is one thing. Enabling Google Cloud enables scientists to change the way they perform Workshops* developers to move at rapid speed, maintain compliance and research and collaborate with one another. This presentation will W6. An Intro to Blockchain in Life Sciences provide for safe collaboration is another. We explore how Broad highlight how Google Cloud is accelerating life sciences research W7. Containerizing Applications and Workflows for does DevOps and DevSecOps in the cloud. and finding new ways to innovate. Large-Scale Reproducible Science 11:30 Making a Case for Private Cloud: Using OpenStack 1:40 Session Break in Research and Early Development APPLYING CLOUD FOR LARGE-SCALE GENOMICS 12:30 – 4:00 pm Recommended Afternoon Albion Baucom, MSc, Team Lead, IT, Invitae AND LEAD DISCOVERY Pre-Conference Workshops* Using OpenStack private cloud over the past 6 years, we have W8. Automating Data Analysis with Excel gained many insights into the operations, management, use 1:50 Chairperson’s Remarks cases and governance of this type of data center resource in a * Separate registration required. Please see page 8 for details. Scott Jeschonek, Director, Cloud Services, Avere Systems scientific application development setting. In this talk, we discuss 2:00 – 6:30 Main Conference Registration Open our journey with vendors, benefits to our business as well as 1:55 Protecting Genome Data Privacy and Security in the successes and challenges encountered along the way. Cloud Sponsored by Shuang Wang, PhD, Assistant Professor, Department of Biomedical 4:00 PLENARY KEYNOTE SESSION 12:00 pm Solving Practical Challenges for Futuristic Workloads Informatics, University of California, San Diego Please see page 5 for details. Jason Stowe, Principal Group Program Manager, The outsourcing of genome data into public cloud computing Azure Specialized Compute, Microsoft settings raises concerns over privacy and security. Significant 5:00 – 7:00 Welcome Reception in the Exhibit Hall with advancements in secure computation methods have emerged over This talk shares lessons from over a decade of helping customers Poster Viewing the past several years. In this presentation, we overview the privacy adopt cloud for traditional HPC workloads as well as new *omics risks that are associated with genome data and discuss technical and AI workloads. Learn lessons from cloud adopters including WEDNESDAY, MAY 16 solutions to safeguard genome data analysis in the cloud. how to achieve the governance you need to accelerate life 7:00 am Registration Open and Morning Coffee sciences innovation. 2:25 It’s Raining Exomes: Cloud-Enabled Genomics – 12:30 Session Break Handling >250k Samples 8:00 PLENARY KEYNOTE SESSION John Penn, MSc, Manager, NGS Data Analysis, Regeneron Genetics 12:40 Luncheon CO-PRESENTATION I: Sponsored by Please see page 5 for details. Center, Regeneron Genomic Pipelines: Short and Long-Term Processing, structuring, and analyzing the data for 250k+ exomes Strategies for Efficiencies and Scale 9:45 Coffee Break in the Exhibit Hall with Poster Viewing requires a scalable and customizable compute framework. Cloud Ron Bianchini, CEO and President, Avere Systems computing provides the adaptable infrastructure to quickly and ADOPTING CLOUD Adam Kraut, Director of Infrastructure and Cloud Architecture, facilely adjust, add, and modify tools, processes and frameworks 10:50 Chairperson’s Remarks BioTeam, Inc. to address any and all challenges that arise in the mass production of genomic data. Lance Smith, Associate Director, IT, Celgene The cloud provides a strategic advantage for genomic pipeline analysis and big science. This presentation will focus on factors leading to successful cloud missions and the vital role of file systems and support of POSIX applications. Examine real-world hybrid cloud use cases. Gain insights into how to leverage the cloud to enable research for both short- and long-term advantage.

20 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CLOUD COMPUTING CONTINUED TRACK 5

2:55 Orion: Delivering Drug Design and Sponsored by 7:00 – 10:00 Bio-IT World After Hours @Lawn on D patients’ clinical and molecular data along with clinical evidence to the fingertips of the clinician for precision treatment planning. Discovery Workfloes in the Cloud Sponsored by Co-hosted by Andy Maynard, Senior Applications Scientist, OpenEye M 11:40 Pathogen Genomics in Public Health Scientific Duncan R. MacCannell, PhD, CSO, Office of Advanced Molecular Orion is OpenEye’s cloud-based drug discovery platform. It unites Detection, National Center for Emerging & Zoonotic Infectious highly optimised methods for computational drug discovery, Diseases, Centers for Disease Control and Prevention developed in the course of delivering innovative scientific solutions THURSDAY, MAY 17 Microbial genomics is playing a rapidly increasing role in public to pharmaceutical R&D for over two decades, with the scale, health, from detecting and responding to outbreaks, to providing reliability, and cost-effectiveness of cloud computing. Built 7:30 am Registration Open and Morning Coffee better data for disease surveillance, to monitoring the impact cloud-native from the ground up, Orion offers collaborative drug of vaccines, to developing a new generation of diagnostics. discovery and design capabilities on an unprecedented scale. 8:00 PLENARY KEYNOTE SESSION This presentation provides an overview of how next-generation & AWARDS PROGRAM sequencing is transforming infectious disease public health in the 3:10 Sponsored Presentation (Opportunity Available) Please see page 5 for details. United States. 3:25 Rereshment Break in the Exhibit Hall with Poster Viewing 12:10 pm Session Break APPLYING CLOUD - DESIGNING FLEXIBILITY WHILE 9:45 Coffee Break in the Exhibit Hall and Poster 12:20 Developing A Digital Transformation Sponsored by MAINTAINING SECURITY Competition Winners Announced Roadmap to Future-Proof Your R&D 4:00 Collaborative Simulation Development Accelerated by APPLYING CLOUD FOR DISEASE MODELING AND Organization And Fuel Scientific Innovation Cloud-Based Computing and Software as a Service Model MONITORING Scott Weiss, PhD, Vice President, Product Strategy, IDBS Howard J. Stamato, MS, Consultant; formerly Associate Director, Join Dr. Scott Weiss for this session as he illustrates the ways Drug Product Science and Technology, Bristol-Myers Squibb 10:30 Chairperson’s Remarks digital is transforming R&D; how it delivers value in scientific Collaborative development of simulations can be enabled by Duncan R. MacCannell, PhD, CSO, Office of Advanced Molecular organizations, and what you need to do to prepare for this cloud-based computing capability and flexible access to software. Detection, National Center for Emerging & Zoonotic Infectious transformation in your organization. Learn how digital capabilities Faster development and consumption of models is expected from Diseases, Centers for Disease Control and Prevention can be applied across R&D to enable future success, advance innovation and ensure compliance. having a system in which to share the right information in the right 10:40 A Cloud-Based Bioinformatics Solution for context. A system like this has been proposed for a consortium of Infectious Disease Diagnostics Sponsored by pharmaceutical companies and is expected to bring advantages 12:50 Luncheon Presentation II: and further efficiencies to delivering medicines for patients. Rita R. Colwell, PhD, DSc, Distinguished University Professor, Biotech-in-a-Box: Turn-Key Cloud Infrastructure University of Maryland Institute of Advanced Computer Studies, for Enterprise-Grade Research University of Maryland College Park 4:30 Presentation to be Announced Elliot Menschik, MD, PhD, Healthcare and Life Science Ventures, Sponsored by Currently many pathogens escape detection in samples when 5:00 Overcoming the Challenges of Sharing Amazon Web Services traditional assays, such as culture and PCR, are employed. It This talk introduces the AWS Biotech Blueprint, a toolset and Migrating Large Data Sets in Healthcare is critical to develop unbiased, timely methods of pathogen enabling biotechs to rapidly establish enterprise-grade research and Life Sciences detection. This presentation describes our success utilizing such environments in the cloud, supporting both wet and computational David Mostardi Senior Engineer, IBM Aspera facile methods for infectious disease research with various pilot labs. Optimized out-of-the-box for security, resilience and Healthcare & research are experiencing unprecedented growth in studies including necrotizing fasciitis, infective endocarditis, regulatory compliance, it further automates the installation and data. Legacy file sharing & cloud migration tools rely on technology urinary tract infections, and wound infections. Methods of integration of leading scientific applications under the customer’s that can’t handle such size and volume. Learn through real-world metagenomic identification and antimicrobial resistance profiling direct control. The talks will include illustrations drawn from use cases how IBM Aspera accelerates R&D cycles, speeds will be presented. successful customer deployments. data workflows, and impacts clinical and research outcomes by 11:10 Cloud-Based Asynchronous Virtual Tumor Board leveraging multi-cloud and on premises solutions. 1:20 Dessert Refreshment Break in the (VTB) to Operationalize and Scale the Democratization of Exhibit Hall with Poster Viewing Precision Oncology Edik Blais, PhD, Computational Biologist, Perthera, Inc. 5:30 Best of Show Awards Reception in the Exhibit Since 95% of cancer patients are treated in the community, the Hall with Poster Viewing ability to provide a leading-edge, scalable precision medicine workflow is of critical importance. We have developed a scalable, asynchronous Virtual Tumor Board (VTB) that can bring together

21 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CLOUD COMPUTING CONTINUED TRACK 5

FEATURED SESSION: BIOTEAM TOWN HALL 1:55 Sponsor Introduction Sponsored by Scott Jeschonek, Director, Cloud Services, Avere Systems

2:05 – 4:00 PANEL SESSION: BioTeam Town Hall: 2018 Bio-IT Trends Chris Dwan, Senior Technologist and Independent Life Sciences Consultant (Moderator) Ari Berman, PhD, Vice President and General Manager of Consulting Services, BioTeam, Inc. Tanya Cashorali, Founder, TCB Analytics Kristen Cleveland, PMP, Director of Operations, BioTeam, Inc. Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc. Karl Gutwin, PhD, Senior Scientific Consultant, BioTeam, Inc. Adam Kraut, Director of Infrastructure and Cloud Architecture, BioTeam, Inc. Since 2010, the “Trends in the Trenches” presentation, given by Chris Dagdigian, has been one of the most popular annual traditions on the Bio-IT Program. The intent of the talk was to deliver a candid (and occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation tried to recap the prior year by discussing what has changed (or not) around infrastructure, storage, computing, and networks. This presentation has helped scientists, leadership, and IT professionals understand the basic topics involved in supporting data intensive science. In 2017, the “Trends in the Trenches” presentation evolved and expanded from 60 minutes to 120 minutes and featured more content, speakers, and interactive discussion. We will continue this format for 2018, featuring short, focused podium talks on current trends related to computing, storage/data transfer, networks, cloud and managing successful IT projects. An interactive Q&A moderated discussion with the audience follows. Come prepared with your questions and commentary for this informative and lively session.

4:00 Conference Adjourns

22 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Bioinformatics TRACK 6 Computational Resources and Tools to Turn Big Data into Smart Data

Track 6 assembles thought leaders who will present case studies using computational resources and tools that take data from multiple –omics sources and align it with clinical action. Turning big data into smart data can lead to real time assistance in disease prevention, prognosis, diagnostics, and therapeutics. With the ever-increasing volume of information generated for curing or treating diseases and cancers, bioinformatics technologies, tools and techniques play a critical role in turning data into actionable knowledge to meet unstated and unmet medical needs.

TUESDAY, MAY 15 11:00 BioCompute: A Framework to Harmonize faster, fully-informed decision-making Examples of customer Bioinformatics success stories highlighting BioELN, Biological Registration, and 7:00 am Workshop Registration Open and Morning Coffee Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- Vortex Bioinformatics, will be given. Performance Integrated Virtual Environment (HIVE), FDA 8:00 – 11:30 Recommended Morning Pre-Conference 12:30 Session Break The complexity and the lack of harmonized methods to Sponsored by Workshops* communicate computational protocols has led to a crisis of 12:40 AI, Machine Learning and Big Data for W3. D2K, Transforming Data to Knowledge with Cloud, reproducible research: by some estimates, 60-70% of researchers Life Sciences; the Good the Bad and the Ugly IoT & Machine Learning (AI) – Part I are not able to reproduce results. The FDA has partnered with Frederik van den Broek, PhD, Solution Consultant, The George Washington University to create an international Life Sciences, Elsevier, Inc. 12:30 – 4:00 pm Recommended Afternoon BioCompute consortium to devise a standard specification Many believe that Artificial Intelligence has the potential to Pre-Conference Workshops* document enabling consistency in bioinformatic workflows in revolutionise life sciences and healthcare. However, there are research and regulatory domains. W9. D2K, Transforming Data to Knowledge with Cloud, significant pitfalls in the application of AI and Big Data. This talk IoT & Machine Learning (AI) – Part II 11:30 Arvados – A Multifunctional Platform for Scientific will present an overview of best and worst practices in applying AI and Machine learning to life sciences to facilitate successful use of * Separate registration required. Please see page 8 for details. Applications at Roche these techniques in today’s competitive drug discovery environment. Moritz Gilsdorf, Scientific Application Engineer, Roche Sponsored by 2:00 – 6:30 Main Conference Registration Open Arvados, mostly known as a platform for managing big Omics 1:10 Luncheon Presentation II: Understanding datasets as well as for automated processing using analysis Innate Resistance to anti-PD-1 Therapy in pipelines, has also a big potential to be a powerful backend for Melanoma through Transcriptomics 4:00 PLENARY KEYNOTE SESSION a big variety of scientific applications from different areas. This Jean-Noël Billaud, PhD, Senior Principal Scientist, Bioinformatics Please see page 5 for details. talk will present how we currently use Arvados, showcase new Business Area, QIAGEN applications and how they benefit from the platform. Immunotherapy consisting of blocking immune checkpoints, such Sponsored by 5:00 – 7:00 Welcome Reception in the Exhibit Hall with 12:00 pm Pathway and Network Machine as PD-1, has shown promise in treating melanoma. However, Poster Viewing Learning Analysis to Prioritize Causal Genes innate and acquired resistance to anti-PD-1 therapy often results in recurrence after initial successful treatment leading to advanced in Parkinson’s Disease WEDNESDAY, MAY 16 metastatic melanoma.This presentation will show the combined Alexandr Ivliev, Principal Research Sciences, Life Sciences, Clarivate power of OmicSoft’s OncoLand Explorer, Array Suite and Ingenuity Analytics 7:00 am Registration Open and Morning Coffee Pathway Analysis (QIAGEN) to analyze and interpret whole How can big data be leveraged for target ID and drug discovery? transcriptome from RNA-sequencing from pre-treatment mRNAs Current advances in human genetics have already revealed of patients with advanced metastatic melanoma and with respect 8:00 PLENARY KEYNOTE SESSION drivers for numerous diseases. This talk will describe application to their subsequent immunotherapy treatment outcomes. We will Please see page 5 for details. of pathway and network analyses in conjunction with machine provide highlights into the biological signatures that determine learning techniques to identify causal genes and therapeutic non-responder versus responder status. targets for Parkinson’s disease. 9:45 Coffee Break in the Exhibit Hall with Poster Viewing 1:40 Session Break 12:15 Solving Challenges in Biologics Drug Sponsored by MULTIFUNCTIONAL PLATFORMS FOR MANAGING Discovery with Integrated Informatics OMICS DATASETS Andrew Le Beau, Senior Manager, Biologics, 10:50 Chairperson’s Remarks Marketing, Dotmatics Inc Rupert Yip, PhD, Director, Product Management Hereditary Diseases, Biologics drug discovery requires informatics systems that QIAGEN support both unique capabilities and traditional competencies such as screening, inventory, etc. Support for cross-institutional collaboration is also critical Properly integrated systems facilitate

23 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS BIOINFORMATICS CONTINUED TRACK 6

Sponsored by INTUITIVE VISUALISATION TOOLS 3:10 Driving Biotherapeutic Design with Sponsored by 5:00 Ontology Learning and Personalization 1:50 Chairperson’s Remarks “Modeling as a Service” Anna Lyubetskaya, Data Scientist, Engineering, Sean McGee, Product Marketing Manager, BIOVIA Copyright Clearance Center Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared Resource and Assistant Professor of Pathology and Laboratory The increasing demands on biopharmaceutical R&D has driven In this talk, we’ll discuss a framework that enables learning of ontologies in a semi-supervised manner through the best machine Medicine, Rutgers Cancer Institute of New Jersey accelerated adoption of in silico modeling and simulation across a variety of disciplines. However, this growing demand for high learning and distributed computing approaches. We discuss 1:55 MetroNome - Designing a Genomic Data Laboratory quality models has in turn placed strain on the ability of experienced issues inherent to data science: input data filtering and enrichment, with Visualization Tools to Empower Researchers to Make modelers, limiting their impact on the organization. There is a need robust iterative learning, cross-validation, rapid prototyping, and Discoveries to deploy widely applicable models as web services or applications transition between prototyping and production. Christian Stolte, Data Visualization Designer, Informatics Research to researchers at the lab bench. Deploying models “as a service” Innovation, New York Genome Center extends the expertise of expert users at an enterprise level, freeing up their time to focus on high-value projects and allowing users of 5:30 Best of Show Awards Reception in the Exhibit Studying complex disease requires access to larger volumes of all skill levels to increasingly guide their research with the models Hall with Poster Viewing data and the ability to identify relationships across multiple data that are of most use to them. dimensions. With MetroNome, we provide web-based tools for data exploration that use intuitive visualizations; and a that 3:25 Refreshment Break in the Exhibit Hall with Poster 7:00 – 10:00 Bio-IT World After Hours @Lawn on D connects genomic and clinical data, across projects and diseases. Viewing Sponsored by MetroNome leverages public datasets for comparison and Co-hosted by M increased statistical power. APPLICATIONS OF GENOME ANALYSIS AND 2:25 An Integrated Systems Pharmacology Approach to MACHINE LEARNING IN CANCER Aid the Prediction of Adverse Drug Reactions 4:00 Building Integrated Pipeline for Cancer Genome THURSDAY, MAY 17 Malika Mahoui, PhD, Senior Research Scientist-IT, Eli Lilly and Company Analysis: Role of Mobile Genetic Elements in Cancers Using bioinformatics tools, an integrated systems pharmacology Kamal Rawal, PhD, Senior Assistant Professor, Biotechnology and 7:30 am Registration Open and Morning Coffee approach is proposed to aid in the prediction of potential ‘on-target’ Bioinformatics, Jaypee Institute of Information Technology (JIIT) and ‘off-target’ Adverse Drug Reactions (ADRs) for a new drug in a pathway that is targeted by other drug therapies. To accomplish Transposable elements (TEs), or mobile genetic elements (MGEs), 8:00 PLENARY KEYNOTE SESSION & AWARDS this, high quality annotated supported with analytics and are the most abundant elements in mammalian genomes and PROGRAM found in nearly 100 cases of diseases including cancers. Here, visual descriptive techniques are being used to collate information Please see page 5 for details. about upstream and downstream proteins in a pathway along we present a new method (software pipeline) to determine exact with tissue distributions, and additionally integrated with clinical position and insertion mechanism of transposable elements in information of other drugs and their ADRs known to interact with cancer genomes using the machine learning method. We also 9:45 Coffee Break in the Exhibit Hall and Poster the proteins in that same pathway. A target gene was selected for show new techniques to integrate somatic mutation data with Competition Winners Announced a proof-of-concept evaluation to test this systems pharmacology results from genome-wide characterizations experiments and pathway approach, with the aim to complement and inform clinical data elements. CAREERS IN BIG DATA - TIPS AND BEST PRACTICES additional safety assessments to conduct during drug development. 4:30 Analysis of Cancer Genome Variation from Long DNA FROM INDUSTRY LEADERS 2:55 How to Free Up Time for Your Sponsored by and RNA Sequencing 10:30 Chairperson’s Remarks BioInformatics Team: Empowering Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared Bino John, PhD, Computational Biology and Systems Biology Group Researchers to Run Common Analyses Resource and Assistant Professor of Pathology and Laboratory Leader, Dow-Dupont Ag Division and Interpret Their Data Medicine, Rutgers Cancer Institute of New Jersey Jean Lozach, CTO, OnRamp BioInformatics, Inc. Cancer genomes are full of rearrangements which drive the oncogenesis. Using long reads, we have been able to accurately OnRamp.Bio’s flagship product, Rosalind™, provides the first-ever determine the structure of important cancer genes in breast genomics analysis platform designed specifically for life science cancer including BRCA1 and HER2. The variation in these genes researchers to analyze and interpret their own data, eliminating cannot be accurately determined with short reads due to their the wait while reducing costs through a simplified per-sample repetitive structure. In addition, we have used RNA sequencing pricing model. This discussion with demonstrate how to set up an to determine the full sequence of kinase fusions in cancer. These experiment on Rosalind™ in minutes and explore interactive results fusions play a critical role in the progression of many types of within hours (no BioInformatics experience required). cancer and understanding their full structure will lead to greater insight and improved therapies.

24 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS BIOINFORMATICS CONTINUED TRACK 6

a combination of data analyses and simulations to mimic real-world 10:40 PANEL DISCUSSION: Careers in Big Data - Tips and clinical situations; re-shaping the data structure and contents to satisfy Best Practices from Industry Leaders specific clinical needs; balancing scientific and clinical questions, as Co-Moderators: well as activities of exploratory vs. confirmative analyses; fine tuning result interpretations and integrating data analysts with the clinical Stephanie Hintzen, Bioinformatics System Programmer, Dana Farber development teams. In rare cases, seamless translating Big Data Cancer Institute analysis to decision making in clinical studies is possible. Chrystal Mavros, Research Assistant, Molecular Genetics Core Facility, Boston Children’s Hospital Center for Life Science 2:30 Computational Sciences at a Digital Biotech Panelists: Iain McFadyen, PhD, Senior Director, Computational Sciences, Jeremy Jenkins, PhD, Executive Director, Head of Chemical Biology Moderna Therapeutics & Therapeutics Informatics, Novartis Institutes for BioMedical Moderna Therapeutics is pioneering mRNA medicines, a Research (NIBR) ‘software-like’ approach whereby we direct the body’s own cells Bino John, PhD, Computational Biology and Systems Biology Group to create proteins to fight and prevent disease. We’ve built a suite Leader, Dow-Dupont Ag Division of computational science capabilities that encompasses and Joseph Lehar, PhD, Executive Director, Computational Biology, MRL, integrates bioinformatics, computational biology, computational Merck chemistry, cheminformatics, data science, and more. We’ll Patrice Milos, PhD, President and CEO, Medley Genomics describe these capabilities and share examples of applications. Michelle Penny, PhD, Senior Director, Head of Translational Genome These capabilities are built on top of an integrated informatics Sciences, Biogen platform that will be described in a separate talk by David Johnson, Daniel Robertson, PhD, Research Fellow and Vice President of Director of Informatics, Moderna Therapeutics. Digital Technology, Indiana Biosciences Research Institute Do you know what it takes to get hired and succeed in industry? COLLABORATION AND SHARING Come join us to discuss and get perspectives from seasoned thought leaders on getting hired and staying hired! 3:00 PORTIN: A Game Changer within Translational Data Integration Christiane Unger, IT Business Partner, Bayer Business Services 12:10 pm Session Break PORTIN is a platform in which biomarker/genomic, biosample and clinical/phenotype information is integrated to make better 12:20 Luncheon Presentation (Sponsorship Opportunity and more efficient use of the available data. For a successful Available) or Enjoy Lunch on Your Own implementation, besides technology and data, cultural and 1:20 Dessert Refreshment Break in the Exhibit Hall with organizational aspects are just as important to consider. In this talk, we will discuss shift in behavior mindset of who owns the Poster Viewing data, collaboration with cross-functional teams, and governance of PRECISION MEDICINE IMPLEMENTATION AND translational research processes. APPLICATIONS OF DATA INTEGRATION 3:30 Embracing Pre-Competitive Collaboration in the Life 1:55 Chairperson’s Remarks Sciences Rich Lysakowski, PhD, Senior Business Analyst & Informatics Carmen Nitsche, Business Development Consultant, Business Engineer, Astrix Technologies; Professor of Bioinformatics & Data Development, Pistoia Alliance Science, Network Technology Academy Institute Gerhard Noelken, MD, Business Development Europe, Pistoia Alliance, Inc. 2:00 Translating Big Data Analysis to Decision Making in Precompetitive collaboration is becoming a requirement for the life Pivotal Clinical Studies sciences industry as it strives to deliver better patient outcomes Sheng Feng, PhD, Vice President and Head of Bioinformatics, Green- faster. In this talk, we will survey the current state of alliances Valley Pharmaceutical Company, Shanghai, China and provide updates on some recent successful projects at the Big Data analysis is often exploratory, while pivotal clinical studies Pistoia Alliance. We will also consider future areas ready for a demand confirmative evidences in making important decisions. In collaborative approach to advance innovation. most cases, what happens in Big Data analysis, stays in Big Data 4:00 Conference Adjourns analysis. In this talk, I will discuss a number of technical strategies making Big Data analyses more useful in clinical studies, including

25 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Next-Gen Sequencing Informatics TRACK 7 Advances in Large-Scale Computing

Tremendous advancements have been made to broaden NGS applications from research to the clinic, especially as genomics becomes more integrated with precision medicine initiatives. In spite of this, enormous challenges for NGS still exist including real time sequencing, data storage, processing, scaling, quality control management, security and compliance in the cloud, and interpretation. Track 7 presents case studies on these challenges.

TUESDAY, MAY 15 LARGE-SCALE RNA-SEQ AND GENE EXPRESSION 12:40 Luncheon Presentation I: Querying Sponsored by VARIABILITY of 100k Genomes Using Google Cloud 7:00 am Workshop Registration Open and Morning Coffee Hákon Gudbjartsson, PhD, Chief Informatics Officer, 10:50 Chairperson’s Remarks WuXi NextCODE Johannes Goll, Director, Bioinformatics, The Emmes Corporation 8:00 – 11:30 Recommended Morning Pre-Conference Hákon Gudbjartsson will demonstrate the power of the GOR database in real time. GORdb is used to organize, mine and share Workshops* 11:00 KEYNOTE PRESENTATION: RNA-Seq X: Look Back massive genome datasets, providing a global architecture for the W4. Introduction to Scalable and Reproducible RNA- and Look Ahead largest precision medicine efforts worldwide. It’s designed to enable Seq Data Processing, Analysis, and Result Reporting Shanrong Zhao, PhD, Director, Computational Biology and fast, computationally-efficient use of sequence data, and allows for Using AWS, R, knitr, and LaTex Bioinformatics, Pfizer, Inc. the query and application of data in the context of reference sets. Since Dr. Mortazavi published his groundbreaking research entitled 12:30 – 4:00 pm Recommended Afternoon “Mapping and Quantifying Mammalian Transcriptomes by RNA- 1:10 Luncheon Presentation II (Sponsorship Opportunity Pre-Conference Workshops* Seq” in Nature Methods in 2008, RNA-seq has evolved rapidly and Available) W11. Data Science Driving Better Informed Decisions revolutionized biological research, drug development and clinical diagnostics. 2018 is the 10-year anniversary of RNA-seq, and it’s 1:40 Session Break * Separate registration required. Please see page 8 for details. the right time to look back and look forward. OPTIMIZING GENE BASES WITH CODON USAGE 11:30 LCA: A Robust and Scalable Algorithm to Reveal Subtle 2:00 – 6:30 Main Conference Registration Open 1:50 Chairperson’s Remarks Diversity in Large-Scale Single-Cell RNA Sequencing Data Leonard Lipovich, PhD, Associate Professor with Tenure, Center for Xiang Chen, PhD, Assistant Member, Department of Computational 4:00 PLENARY KEYNOTE SESSION Molecular Medicine and Genetics, Wayne State University Biology, St. Jude Children’s Research Hospital Please see page 5 for details. We developed Latent Cellular Analysis (LCA), a machine learning 1:55 Analysis of Codon Optimized Therapeutic Proteins based single-cell RNA sequencing (scRNA-seq) analytical pipeline that Using Ribosome Profiling combines similarity measurement by latent cellular states and a graph Chava Kimchi-Sarfaty, PhD, Research Chemist, Principal 5:00 – 7:00 Welcome Reception in the Exhibit Hall based clustering algorithm featuring dual-space model search for both Investigator, OTAT Acting Deputy Associate Director for Research, with Poster Viewing the optimal number of subpopulations and the informative cellular Division of Plasma Protein Therapeutics, Office of Tissues and states distinguishing them. LCA has proved to be robust, accurate and Advanced Therapies, FDA | CBER | OTAT powerful by comparison to multiple state-of-the-art computational Codon optimization is a genetic engineering technique used to methods on large-scale real and simulated scRNA-seq data. WEDNESDAY, MAY 16 improve the yield of recombinant therapeutic proteins. Despite 12:00 RSEQREP: An Open-Source Cloud- Sponsored by being used ubiquitously to increase protein expression, codon Enabled Framework for Reproducible optimization requires widespread substitution of synonymous 7:00 am Registration Open and Morning Coffee RNA-Seq Data Processing, Analysis & Result codons across the native expression sequence. This degree of genetic manipulation can carry consequences, including altered Reporting conformation of the recombinant product. These unforeseen 8:00 PLENARY KEYNOTE SESSION Johannes Goll, Director, Bioinformatics, The Emmes Corporation modifications can have impacts on protein function and health Please see page 5 for details. RSEQREP (RNA-Seq Reports) is a new open-source cloud-enabled outcomes, and are of high regulatory importance. framework that allows researchers to execute start-to-end RNA-Seq 9:45 Coffee Break in the Exhibit Hall with Poster Viewing analysis to characterize transcriptomics changes in human cells following treatment. It outputs dynamically generated reports using R and LaTeX. We provide results for a published RNA-Seq study to characterize transcriptomics changes following influenza vaccination. 12:30 Sponsored Presentation (Opportunity Available)

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Sponsored by 2:25 Multidimensional Global Proteogenomics Identifies 5:00 LIMS or ELN, Which Do You Need? 11:10 A Network-Based Approach to Understanding Drug Persistent Ribosomal In-Frame Mis-Translation of Stop Kevin Cramer, CEO, Sapio Sciences Toxicity Codons as Amino Acids in Multiple Open Reading Frames Both Biotech and Pharma need Laboratory Information Management Yue Webster, PhD, Principal Research Scientist, Informatics from a Human Breast Cancer Long Non-Coding RNA (LIMS) and Electronic Lab Notebook (ELN) capabilities. Sapio has Capabilities, Research IT, Eli Lilly and Company Leonard Lipovich, PhD, Associate Professor with Tenure, Center for eliminated the barriers between these two product areas by leveraging Despite investment in toxicogenomics, nonclinical safety studies Molecular Medicine and Genetics, Wayne State University its more than decade of unique experience offering both LIMS and are still used to predict clinical liabilities for new drug candidates. ELN solutions and combining the key features of each solution into Do any of the ~20,000 human long non-coding RNA (lncRNA) genes Network-based approaches for genomic analysis help overcome one, best of breed, product: Exemplar ELN Pro. encode novel proteins? Since ribosome profiling does not formally challenges with whole-genome transcriptional profiling using prove translation, we used mass spectrometry to identify rare but limited numbers of treatments for phenotypes of interest. Herein, recurrent peptides translated from specific human lncRNAs. Now, we apply co-expression network analysis to safety assessment 5:30 Best of Show Awards Reception in the Exhibit using rat liver gene expression data to define 415 modules, we demonstrate surprising in-frame mistranslation of stop codons in Hall with Poster Viewing several lncRNA open reading frames into amino acids. This apparent exhibiting unique transcriptional control, organized in a visual violation of the Genetic Code expands the human cancer proteome. representation of the transcriptome. Compared to gene-level 7:00 – 10:00 Bio-IT World After Hours @Lawn on D analysis alone, the network approach identifies significantly more 2:55 CO-PRESENTATION: Workflow Sponsored by phenotype-gene associations, including established and novel Sponsored by Optimization for NGS Discovery - How to Co-hosted by biomarkers of liver injury. M Drive BIX Insights 11:40 Advancing Clinical NGS Test Development Using Jack DiGiovanna, PhD, General Manager, NGS Applications and Services, Seven Bridges Thousands of Pediatric Cancer Samples on St. Jude Cloud Michael Rusch, Director of Bioinformatics Research Development, Isaac M. Neuhaus, PhD, Director, Computational Genomics, Bristol THURSDAY, MAY 17 Myers Squibb St. Jude Children’s Research Hospital 3:25 Refreshment Break in the Exhibit Hall with Poster Viewing 7:30 am Registration Open and Morning Coffee 12:10 pm Session Break 12:20 Luncheon Presentation (Sponsorship Opportunity NGS DATA ANALYSIS, INTEGRATION, 8:00 PLENARY KEYNOTE SESSION & AWARDS Available) or Enjoy Lunch on Your Own INTERPRETATION, AND VISUALIZATION PROGRAM 1:20 Dessert Refreshment Break in the Exhibit Hall with 4:00 Variant Query Tool: Drag & Drop for a Scalable, Please see page 5 for details. Poster Viewing Server-Less, Web UI to Querying Annotated Variants William Van Etten, Senior Scientific Consultant, BioTeam 9:45 Coffee Break in the Exhibit Hall and Poster DATA MINING FOR DISEASE CLASSIFICATION Whether tens or thousands of genomes, the barrier to entry can Competition Winners Announced be high for the biologists/geneticist, who might not also be a 1:55 Chairperson’s Remarks computer scientist. BioTeam has developed a simple tool that APPLICATION OF NGS TO ONCOLOGY, John Methot, Director, Health Informatics Architecture, Dana-Farber leverages several AWS services to enable a biologists/geneticist to IMMUNOLOGY, DIAGNOSTICS, AND THERAPEUTIC Cancer Institute drag & drop VCF and BAM files onto an S3 bucket, then point their DEVELOPMENT web browser at this bucket, to provide a scalable, server-less, web 2:00 Disease Classification in the Era of Data-Intensive UI to querying the reads and annotated variants within these files. 10:30 Chairperson’s Remarks Medicine Bruce Press, Executive Vice President, Business Development & Kanix Wang, PhD, Research Professional, Booth School of Business, 4:30 Building a GXP Validated Platform for NGS Analysis Strategy, Seven Bridges Genomics Institute for Genomics & Systems Biology, University of Chicago Pipelines We used insurance claims for over one-third of the U.S. 10:40 Instantiating a Single Point of Truth for Genomic Anthony Rowe, PhD, Business Technology Leader, R&D IT, Janssen population to create a subset of 128,989 families (481,657 unique R&D LLC Reference Data individuals). Using these data, we estimated the heritability An NGS applications approach the clinic the bioinformatics David Herzig, Scientist, Research Informatics, Roche and familial environmental patterns of 149 diseases. We then pipelines used to analyze the data have to be validated to Pharmaceuticals computed the environmental and genetic disease classifications demonstrate their correctness. This talk will present Janssen This talk will exemplify how expression and mutation data were for a set of 29 complex diseases after inferring their pairwise approach to deploying validated NGS applications with specific made actionable by consolidating a scattered landscape of genetic and environmental correlations. focus in microbiome metagnomics. genomic reference data into a real SPoT.

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2:30 Enviro-Geno-Pheno State Approach and State-Based simultaneously working to improve the care continuum and Biomarkers for Differentiation, Prognosis, Subtypes, and the development of new treatments. We will explore the nexus Staging of healthcare networks and their IT systems, clinical decision- making and delivery, R&D, and patients, for whom we all create our Lei Xu, PhD, Director, Centre for Cognitive Machines and innovation solutions. Attendees will be interested to understand Computational Health; Zhiyuan Chair Professor, Department of how various groups are working to increase value across the entire and Engineering, Shanghai Jiao Tong University system by bringing laboratory, clinical and pharmaceutical science, In the joint space of geno-measures, pheno-measures, and real-world evidence and patient-reported data together with enviro-measures, one point represents a bio-system behavior and technology and artificial intelligence to solve health challenges. a subset of points that locate adjacently and share a common These approaches offer the opportunity to generate deeper system status represents a ‘state’. The system is characterized insights into how therapies perform in the real world and harness by such states learned from samples. This enviro-geno-pheno that understanding to improve efficiency, effectiveness, value, and state is considered a biomarker, indicating ‘health/normal’ versus ultimately, patient care. ‘risk/abnormal’ together with its associated enviro-geno-pheno condition. 4:00 Conference Adjourns

3:00 PANEL DISCUSSION: Can We Improve Breast Cancer Patient Outcomes through Artificial Intelligence? Maya Said, ScD, President & CEO, Outcomes4me, Inc. (Moderator) Panelists: Regina Barzilay, PhD, MacArthur Fellow and Delta Electronics Professor, Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science; Member, Computer Science and Artificial Intelligence Laboratory, MIT Fionnuala (Finn) Doyle, Vice President and Global Head of Policy and Healthcare Systems, Novartis Kevin Hughes, MD, Co-Director, Avon Breast Evaluation Program, Massachusetts General Hospital; Associate Professor of Surgery, Harvard Medical School; Medical Director, Bermuda Cancer Genetics Risk Assessment Clinic Newly diagnosed cancer patients attempting to understand their treatment options face the overwhelming task of filtering an information deluge, much of which is irrelevant, outdated and occasionally inaccurate. Additionally, matching their diagnosis to best-in-class treatments or potential clinical trials, while simultaneously learning to navigate an extremely complex healthcare system is daunting, even for the most highly trained physicians. We will explore various platforms aimed at improving patient outcomes by leveraging technology to help educate, track, and connect patients with personalized resources while

28 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Clinical Research & Translational Informatics TRACK 8 Transforming Biological Data to Clinical Development

At the cusp of advancing clinical trials and translational research lies the need to transform biological insights and research data using innovative techniques for the integration, visualization and analysis of biological and clinical research data. Track 8 explores new approaches to the integration, visualization, analysis, and application of biological and clinical trial data, including big data analytics, machine learning, artificial intelligence, and additional technologies with case studies from across pharma and academia.

TUESDAY, MAY 15 12:30 Session Break 11:00 PANEL DISCUSSION: Real World Data in Drug Sponsored by 7:00 am Workshop Registration Open and Morning Coffee Discovery and Development: Opportunities and Challenges 12:40 Luncheon Presentation: Leverage NLP Technology to Accelerate Clinical Trial/ Michael N. Liebman, PhD, IPQ Analytics, LLC and Strategic 8:00 – 11:30 Recommended Morning Pre-Conference Medicine, Inc. (Moderator) Research Recruitment Workshops* Jonathan Morris, MD, Vice President, Provider Solutions; Chief Kedar Radhakrishna, Clinical Provider Technology Solution Strategist, Northwell Health W2. Common Statistical Mistakes to Avoid for Data Medical Informatics Officer, Real World Insights, IQVIA Looking for the right patient for clinical trials and research Scientists Charles Barr, MD, MPH, Group Medical Director and Head, RWE Strategy and External Relationships, Genentech programs require extensive review of the patient chart. Even W6. An Intro to Blockchain in Life Sciences though the information is in the EMR, the researcher has to search Elizabeth Baker, Esq., Senior Science Policy Specialist, Toxicology through multiple records before contacting the provider and and Regulatory Testing, Physicians Committee for Responsible 12:30 – 4:00 pm Recommended Afternoon patient to enroll the patient for the clinical study. This process is Medicine Pre-Conference Workshops* tedious as the information resides in multiple locations. Significant efforts are underway to use real world data in support W11. Data Science Driving Better Informed Decisions of regulatory decision making in drug development involving 1:10 Luncheon Presentation II (Sponsorship Opportunity * Separate registration required. Please see page 8 for details. both pharma and the FDA. Real world data and real world Available) evidence provide both additional opportunities and challenges 1:40 Session Break that should also be explored. Quality, quantity and transparency 2:00 – 6:30 Main Conference Registration Open of data and annotation can greatly impact its value and utility. Opportunities also exist to use such data much earlier in the drug STREAMLINING DRUG DEVELOPMENT & CLINICAL 4:00 PLENARY KEYNOTE SESSION development process, to improve its efficiency and effectiveness. RESEARCH Understanding the complexity of real world patients and clinical Please see page 5 for details. 1:50 Chairperson’s Remarks practice is critical for the development of appropriate study Alexander Sherman, Director, Center for Innovation and BioInformatics, cohorts through drug discovery and development. The panel will Neurological Clinical Research Institute, Massachusetts General 5:00 – 7:00 Welcome Reception in the Exhibit Hall with discuss these issues and how to optimize both collection and use Poster Viewing of real world data. Hospital; Principal Associate, Neurology, Harvard Medical School 1:55 Patient Centricity and Big Data in Clinical Research: WEDNESDAY, MAY 16 12:00 pm MH Effect® – Deriving Deeper Sponsored by Realities and Incentives Alexander Sherman, Director, Center for Innovation and 7:00 am Registration Open and Morning Coffee Insights from Integrating Real World with Molecular Data BioInformatics, Neurological Clinical Research Institute, Massachusetts General Hospital; Principal Associate, Neurology, Armin Schneider, MD, PhD, Vice President, Medical & Scientific 8:00 PLENARY KEYNOTE SESSION Harvard Medical School Affairs, Business Development Pharma & Biotech, Molecular Health Please see page 5 for details. Patient-centric research is encouraged and almost required by Enriching clinical level RWD with molecular level data enables sponsoring and regulatory organizations. An implemented system 9:45 Coffee Break in the Exhibit Hall with Poster Viewing exploration of why and how a drug-related event happened to a patient. for secure unique patient identification allows to aggregate Powered by Dataome® technology, where clinical and molecular data information and data for people with diseases across studies REAL WORLD DATA IN DRUG DISCOVERY AND are interconnected on a pathway level, MH Effect® enables deeper and venues, thus creating a clinical and translational research DEVELOPMENT signal detection of drug outcomes beyond clinical level. ecosystem, in which clinical and phenotypical data are connected 12:15 Beyond Counting Patients: Immediate to biobanks, image banks, whole-genome sequences, -omics, 10:50 Chairperson’s Remarks Sponsored by and Complete Access to Row Level EHR patient-reported outcomes and mobile apps. Obstacles and Data to Fuel Clinical Trial Recruitment incentives for data sharing and best practices in technological platforms and approaches will be discussed and illustrated. Philip Payne, PhD, FACMI, Co-Founder & CSO, Signet Accel

29 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CLINICAL RESEARCH & TRANSLATIONAL INFORMATICS CONTINUED TRACK 8

2:25 CO-PRESENTATION: How Well Do Toxicology Studies and encoded genomic eligibility criteria is essential to keep pace 9:45 Coffee Break in the Exhibit Hall and Poster Predict Clinical Safety Outcome – A Translational Safety with the complex landscape of precision medicine clinical trials. Competition Winners Announced Big Data Analysis To meet these needs, we built and deployed an automated clinical Thomas Steger-Hartmann, Investigational Toxicology, Bayer AG trial matching platform called MatchMiner at the Dana-Farber MACHINE LEARNING AND BIG DATA ANALYTICS IN Cancer Institute. Matthew Clark, Scientific Services, R&D Solutions, Elsevier PERSONALIZED MEDICINE We present the results of a statistical analysis of concordance 5:00 Savings Lives and Reducing Healthcare Costs Using 10:30 Chairperson’s Remarks between animal toxicities and human adverse events AI-Assisted Rapid Whole Genome Sequencing for Neonatal Piyush Bansal, Senior Industry Analyst, Transformational Health, based on data available for 3290 compounds from the and Pediatric Intensive Care Units Frost & Sullivan databasePharmapendium. Our work will provide answers to Ray Veeraraghavan, PhD, Director, IT & Informatics, Rady Children’s the implication of an observation in an animal for human risk Institute for Genomic Medicine 10:40 Machine Learning Approaches Applied to and more specifically to the question whether concordance, i.e. Benefits of genomics have been successfully demonstrated in Biomedical Data for Patient Stratification and Decision the translatability of an observation from animal to human, is clinical practise, specifically for undiagnosed “odyssey” cases. Support dependent on the animal species. However, from a healthcare perspective, the intensive care units Kimberly Robasky, PhD, Senior Translational Scientist, Renaissance 2:55 Co-Presentation: Supporting Exploratory Sponsored by (ICUs) account for bulk of the resource consumption, yet remains Computing Institute, University of North Carolina at Chapel Hill (CC) Biomarker Research with a Cross-Trial underserved in terms of leveraging the benefits of genome-based As part of the NIH-funded Biomedical Data Translator project, we Search and Analytics Platform precision medicine. To address this critical need, we have developed are integrating multiple, previously disparate datasets, which is a rapid whole genome sequencing (rWGS) based and CAP/CLIA Darin Benner, IT Manager, Bristol-Myers Squibb empowering investigators with new tools for data-driving patient compliant precision medicine enterprise, to address the specific subtyping. Here we will present the results from supervised and David John, Global Marketing Lead, PerkinElmer needs of children admitted to neonatal and pediatric intensive care unsupervised machine learning models trained to real world Translational scientists face challenges of finding and utilizing units. Employing artificial intelligence methods, EHR-integration, evidence (RWE) from asthma phenotypes curated in the Carolina data hidden within their organizations to support exploratory hardware acceleration, cutting edge bioinformatics and decision Data Warehouse (CDW-H), combined with publicly available biomarker research. Most of their time is spent collecting and support tools, a cloud-based hybrid high-performance infrastructure, exposome data (e.g., PM2.5, ozone). curating data with little time left for analyzing the information extensive systems integration coupled with timely customer support in new and meaningful ways. We have launched a platform to to neonatologists and intensivists, we have established a scalable 11:10 Respect Individual Differences – Analytical support scientists more effectively in this endeavor and are framework that is saving lives and reducing healthcare costs. Innovation in Personalized Medicine via Big Data starting to see the results. This framework is also being used to offer clinical rWGS services Ray Liu, PhD, Senior Director & Head, Statistical Innovation & to pediatric hospitals around the country. We will discuss our Consultation, Takeda 3:25 Refreshment Break in the Exhibit Hall with Poster experiences, challenges and on-going efforts to permeate genomics Viewing Patients are not a single, homogenous group. Instead, patients as an integral part of medical practice. are heterogeneous and respond differently even to the same 4:00 Exploration of Clinical and Biomarker Data across the drug treatment. Big data has the potential to fulfill the promise Immuno-Oncology Portfolio: Integration, Data Lakes and 5:30 Best of Show Awards Reception in the Exhibit of personalized medicine. This presentation will focus on recent analytical innovation using big data to match the right patient to Visualizations Hall with Poster Viewing Philip Ross, Director, Data Science, Bristol-Meyers Squibb the right drug at the right dose at the right time. We continue to expand capabilities to explore clinical and 7:00 – 10:00 Bio-IT World After Hours @Lawn on D 11:40 Machine Learning: An Essential Tool for Building biomarker data across multiple cancer types and therapeutic Digital Biomarkers programs. The goal is to detect and better understand the value of Sponsored by Co-hosted by Shyamal Patel, Senior Manager, Digital Medicine, Pfizer, Inc. biomarkers to distinguish the likely responses of diverse cancer M patients to an expanding portfolio of alternative and combined We live in an ecosystem of connected devices (e.g. wearables, treatments. Data lakes and integration and semantic layers are smartphones and IoT systems). Sensors embedded in these critical to support analyses and visual exploration of the data devices, which we interact with on a daily basis, capture rich real- spanning disparate programs. THURSDAY, MAY 17 world information about our health and well-being. In this talk, I will use case studies to illustrate how machine learning can be used as 4:30 Using Genomics to Match Patients to Cancer Clinical 7:30 am Registration Open and Morning Coffee a powerful tool for tapping into these data streams to develop and Trial deploy digital biomarkers at scale. Catherine Del Vecchio Fitz, Senior Research Scientist, Clinical 8:00 PLENARY KEYNOTE SESSION 12:10 pm Session Break Genomics, Dana-Farber Cancer Institute & AWARDS PROGRAM Currently, physicians struggle to efficiently and accurately match 12:20 Luncheon Presentation (Sponsorship Opportunity Please see page 5 for details. patients to relevant clinical trials using the patient’s genomic Available) or Enjoy Lunch on Your Own profile and manual trial pre-screening, which can result in missed opportunities. Automated matching against uniformly structured

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1:20 Dessert Refreshment Break in the Exhibit Hall with biomarkers and how we engaged 400 researchers across the Poster Viewing globe to enhance them. WEARABLES AND DIGITAL BIOMARKERS LEVERAGING DATA AND ANALYTICS HUB FOR IMPROVED INSIGHTS ACROSS R&D 1:55 Chairperson’s Remarks Sponsored by Nils Gehlenborg, PhD, Assistant Professor, Department of 3:00 CO-PRESENTATION: Leveraging a R&D Biomedical Informatics, Harvard Medical School Data Hub Platform for Next Generation of Clinical Data Review 2:00 CO-PRESENTATION: Assessment of Disease and Krista McKee, Director, Data Analytics, Takeda Relapse Using Remote Monitoring Technology Raveen Sharma, Specialist Leader, Deloitte Consulting LLP Maximilian Kerz, PhD, BRC Software Developer, Biostatistics & *Contributed work: Ramin Daron, Senior Director, Data Architecture, Health Informatics, King’s College London Takeda and Sunny Shahdadpuri, Senior Consultant, Deloitte Nikolay Manyakov, PhD, Principal Scientist, Janssen Consulting LLP Typically, disease progression is monitored during infrequent The Data and Analytics Hub platform was conceived, designed, clinical visits, generating a sparse and subjective clinotype derived and built to address issues of data transparency, trust, and during periods of sickness. This subsequently leads to late accessibility. This will support the efficient generation of insights intervention with modest outcomes. Continuous monitoring could for functions across R&D. In this presentation, we will focus on help to generate a more objective, pervasive phenotype throughout a critical use case of the platform, clinical data review/medical the disease continuum. The EU Innovative Medicines initiative monitoring that will ultimately allow for efficient cross-study and €25m major programme, RADAR-CNS (https://www.radar-cns.org/) cross-compound analysis which will advance our ability to interact is exploring the use of remote measurement technologies, utilizing with the data. smartphone sensors, consumer wearables, information about smartphone usage, and experience sampling method to predict 4:00 Conference Adjourns and avert negative outcomes through monitoring of current clinical states and assessment of future deterioration. 2:30 Developing Digital Biomarkers through Crowdsourcing Larsson Omberg, Vice President, Systems Biology, Sage Bionetworks The high quality sensors embedded in the typical smartphone coupled with the ease of gathering high frequency data is opening up new ways of tracking disease and performing participant centered research. Building biomarkers from this data is a non-trivial task however. In this talk I will present our experience in collecting data from 20,000 participants to build disease

31 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Data Visualization & Exploration Tools TRACK 9 Genomics, Drug Discovery, and Clinical Development

As data-generating technologies become more and more commonplace in research and drug discovery labs, data visualization becomes more necessary than ever to gain insight from big data sets. It is more important than ever to develop data visualization and exploration tools alongside the rest of the analytics, as opposed to later in the game. Track 9 will address ways to not only develop, design, and implement visualization tools in genomics, drug discovery, clinical development, and translational research, but also address real-world case studies where these tools have been successfully used.

TUESDAY, MAY 15 11:00 Lineage: Visualizing Multivariate Clinical Data in SCALABILITY AND REPRODUCIBILITY Genealogy Graphs 7:00 am Workshop Registration Open and Morning Coffee 1:50 Chairperson’s Remarks Alexander Lex, PhD, Assistant Professor, SCI Institute, School of Baisong Huang, Principal Statistical Analyst, Novartis Institutes for Computing, University of Utah BioMedical Research 8:00 – 11:30 Recommended Morning Pre-Conference The majority of diseases that are a significant challenge for public Workshops* and individual heath are caused by a combination of hereditary 1:55 Scalable Visualization and Exploration Tool for Single- W5. Data Visualization to Accelerate Biological and environmental factors. In this paper, we introduce Lineage, a Cell Genomics Data novel visual analysis tool, designed to support domain experts that Discovery Marcin Tabaka, PhD, Postdoctoral Associate, Regev Lab, Broad study such multifactorial diseases in the context of genealogies. Institute of MIT and Harvard Incorporating familial relationships between cases can provide 12:30 – 4:00 pm Recommended Afternoon We developed an interactive tool for the visualization and exploratory Pre-Conference Workshops* insights into shared genomic variants that could be implicated in diseases, but also into shared environmental exposures. analysis of massive single-cell omics data. Users can visualize a W11. Data Science Driving Better Informed Decisions billion cells on a personal computer, show density of cells or gene 11:30 Creating Population Health Informatics Using expression values on a 2D embedding, plot gene expression profiles * Separate registration required. Please see page 8 for details. Tableau for selected groups of cells, visualize and annotate clusters of cells. Frank Wang, Clinical Assistant Professor, Health Informatics and 2:00 – 6:30 Main Conference Registration Open 2:15 CanvasXpress: A Versatile Interactive High- Health Sciences, Sacred Heart University Resolution Scientific Multi-Panel Visualization Toolkit Population Health Management and Accountable Care 4:00 PLENARY KEYNOTE SESSION Baohong Zhang, Director of Clinical Bioinformatics, Precision Organizations (ACO) are key initiatives under Medicare Access Medicine, Pfizer, Inc. Please see page 5 for details. and CHIP Reauthorization Act of 2015 (MACRA). CMS has CanvasXpress (http://canvasxpress.org) was developed as the core developed guideline to reward quality of care and better outcome. visualization component for bioinformatics and systems biology 5:00 – 7:00 Welcome Reception in the Exhibit Hall with These topics will review CMS data sets (Medicare Utilization and analysis at Bristol-Myers Squibb and further enhanced by scientists Poster Viewing Reimursement, Part B and Part D pharmaceutical products usage around the world and served as a key visualization engine for many and clinical quality improvement) and demonstrate how to use popular bioinformatics tools. It offers a rich set of interactive plots Tableau to derive actionable insights in healthcare informatics and WEDNESDAY, MAY 16 to display scientific and genomics data, such as oncoprint of cancer analytics. mutations, heatmap, 3D scatter, violin, radar, and profile plots. 7:00 am Registration Open and Morning Coffee 12:00 pm Where Consumers Meet Biology: PatientsLikeMe 2:35 MJFF Initiative for Open Source PD Research and Kim Goodwin, Senior Advisor, Consumer Strategy, PatientsLikeMe Data Integration 8:00 PLENARY KEYNOTE SESSION Expanding application of biological data in both precision medicine Luba Smolensky, Director, Data Science & Analytics, The Michael J. Please see page 5 for details. and consumer wellness means patients are both contributors to Fox Foundation our datasets (in the form of patient-reported information) and As the world’s largest nonprofit funder of Parkinson’s research, 9:45 Coffee Break in the Exhibit Hall with Poster Viewing consumers of the results. How do you structure data for consumer The Michael J. Fox Foundation (MJFF) is dedicated to accelerating report and consumption, as well as computability? How do you a cure for Parkinson’s disease and improved therapies for those POPULATION INFORMATICS AND ANALYTICS show biological data in a way that’s relevant to patients? Kim living with the condition today. MJFF is leading a Parkinson’s Goodwin will share work in progress from PatientsLikeMe. research data curation and standardization effort that will 10:50 Chairperson’s Remarks accelerate insights into the disease. The goal is to provide access Melissa Landon, PhD, Regional Director, Applications Science, 12:30 Session Break to curated datasets cross platforms for all researchers across Northeast; Director, Education, Schrödinger 12:40 Luncheon Presentation (Sponsorship Opportunity academia, public institutions, and industry. Available) or Enjoy Lunch on Your Own 1:40 Session Break

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2:55 Collaborative Drug Discovery with Sponsored by 5:00 Towards Tailor-Made Drugs with Sponsored by THURSDAY, MAY 17 LiveDesign: Integrated Computational AI-Driven Drug Design 7:30 am Registration Open and Morning Coffee Chemistry and Cheminformatics Ton van Daelen, PhD, BIOVIA Melissa Landon, PhD, Regional Director, Applications Science, Enabling pharma, biotech, and agrichemical businesses to more Northeast; Director, Education, Schrödinger efficiently produce safe, efficacious medicines and agents is key 8:00 PLENARY KEYNOTE SESSION & AWARDS Drug Discovery has become increasingly dependent upon a plethora to improving productivity and competitiveness. Recent advances PROGRAM of computational tools and data, requiring collaboration across in machine learning methods and artificial intelligence (AI) have Please see page 5 for details. computational and medicinal chemistry project teams for ideation, shown great promise in bringing true automation to this process and the potential for these tools to finally become mainstream. querying, and project management. Herein we present LiveDesign, a 9:45 Coffee Break in the Exhibit Hall and Poster By leveraging both existing in-house and publicly available assay highly-collaborative web-based platform for workflow management Competition Winners Announced by bringing computational modeling alongside experimental data data, predictive models can be trained and then applied to rapidly and informatics, presented with real-world examples. design small molecule or biologics therapeutic starting points in silico against desired target, anti-target, safety and toxicity profiles DATA VISUALIZATION FOR PRECISION MEDICINE 3:25 Refreshment Break in the Exhibit Hall with Poster in parallel. Once optimized, these in silico molecules are passed 10:30 Chairperson’s Remarks Viewing to the lab to be created and tested. Results from each “Virtual- to-Lab” cycle are then used to assess and retrain the predictive 10:40 Genomic Data Visualization in the Age of Precision MACHINE LEARNING AND DATA VISUALIZATION models ahead of the next design round. By tightly coupling the Medicine design cycle with predictive models, which are in turn, tightly Nils Gehlenborg, PhD, Assistant Professor, Biomedical Informatics, 4:00 Chairperson coupled to available assay results, research organizations can Harvard Medical School Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, efficiently leverage all available data far more effectively than Visual tools bridge the gap between algorithmic data analysis H2O.ai is currently possible. In turn, this helps research organization approaches and the cognitive skills of investigators. Addressing discover drugs and chemicals not only faster, but with a much this need has become crucial at a time when many studies are no 4:00 Enhancing Precision Wellness with Knowledge increased chance of meeting regulatory, business, and market longer driven by well-defined hypotheses but by the availability of Graphs and Semantic Analytics requirements for a new product. vast amounts of genomic and other associated data. In this talk I , PhD, Tetherless World Chair of Computer, Web Sponsored by 5:15 Architecting for Success with Machine will focus on common visualization techniques for genomic data and Cognitive Sciences; Director, RPI-IBM Center for Health and review their suitability for precision medicine data. Empowerment by Analytics, Learning and Semantics, Institute for Learning Data Platforms Data Exploration and Applications, Rensselaer Polytechnic Institute Kurt Kuckein, Director, Marketing, DDN Storage 11:10 Target Gene Notebook: Connecting Genetics Today’s patients, clinicians and researchers have gone from a Machine learning is being applied to many aspects of precision and Drug Discovery Through Computational world of too little data to one of too much. Discovering relevant medicine. Organizations with a vision for the future will realize how and Logistical Tools information, integrating it from multiple sources, deciding what the data at the heart of their ML initiatives will require extensive Mary Pat Reeve, Associate Director, Informatics, Eisai AiM Institute to believe, and exploring alternative treatments are all challenges scaling. This presentation reviews key considerations for creating that go beyond many of today’s medical support systems. In this and developing ML data platforms to ensure deeper insights, a Linking associations to functional biological information is essential to translating genetic insights to drug discovery; however, there talk, we explore how AI and machine learning can be used by shorter path to value, and capability for effortless scaling. healthcare providers and consumers to better understand and is currently no way to maintain group curation of relevant genetic overcome health challenges. and functional information and to integrate it with proprietary 5:30 Best of Show Awards Reception in the Exhibit experimental data. We introduce an e-notebook to facilitate the 4:30 Drug Discovery at Scale: Interpreting Biology with Hall with Poster Viewing organization of results and provide freely-available software, Target High-Dimensional Data Gene Notebook, to assist therapeutic target evaluation and create Peter McLean, PhD, Lead Data Scientist, Analysis, Recursion durable institutional or public knowledge bases. 7:00 – 10:00 Bio-IT World After Hours @Lawn on D Pharmaceuticals 11:40 Target Gene Notebook: Connecting Genetics and Recursion Pharmaceuticals leverages image-based cellular Sponsored by Co-hosted by Drug Discovery Through Computational and Logistical Tools phenotyping for drug discovery by using computer vision and M machine learning to turn biological questions into tractable data- Mary Pat Reeve, Associate Director, Informatics, Eisai AiM Institute science questions. Translating data science-derived conclusions Linking associations to functional biological information is essential back into a biological or business framework introduces its own to translating genetic insights to drug discovery; however, there challenges. Here, I will introduce some of Recursion’s approaches is currently no way to maintain group curation of relevant genetic for addressing the challenges around distilling computational and functional information and to integrate it with proprietary models of high-dimensional cellular morphology - across hundreds experimental data. We introduce an e-notebook to facilitate the of disease and treated states - into interpretable, actionable data.

33 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA VISUALIZATION & EXPLORATION TOOLS CONTINUED TRACK 9 organization of results and provide freely-available software, Target STANDARDIZATION AND QUALITY CONTROL Gene Notebook, to assist therapeutic target evaluation and create durable institutional or public knowledge bases. 3:00 Visualization Approaches for High Dimensional Data Found in Drug Discovery Screening 12:10 pm Session Break Peter Henstock, PhD, Senior Data Scientist, Pfizer 12:20 Luncheon Presentation (Sponsorship Opportunity Screening imposes a bottleneck in the discovery phase of many Available) or Enjoy Lunch on Your Own institutions. It remains challenging since it encompasses many assay types and data sizes, but has little standardization. With 1:20 Dessert Refreshment Break in the Exhibit Hall with the goal of extracting insight from the screening data, solutions Poster Viewing span from Excel with macros through sophisticated cloud-based software. This presentation focuses on a few software platforms WEARABLES AND DIGITAL BIOMARKERS aimed at ensuring high screen quality and interpreting the hits for medium- to high-throughput screens. 1:55 Chairperson’s Remarks Nils Gehlenborg, PhD, Assistant Professor, Biomedical Informatics, 3:30 IOBIO: Realtime Visualization and Analysis of Big Harvard Medical School Genomic Data Chase Miller, Research Director, Center for Genetic Discovery, 2:00 CO-PRESENTATION: Assessment of Disease and University of Utah Relapse Using Remote Monitoring Technology IOBIO is a web-based platform facilitating real-time analysis Maximilian Kerz, PhD, BRC Software Developer, Biostatistics & and visualization of large, remotely-stored, distributed datasets. Health Informatics, King’s College London Real-time interaction makes it easier to explore and understand Nikolay Manyakov, PhD, Principal Scientist, Janssen genomic data, which is often large, complex and hard to access. We Typically, disease progression is monitored during infrequent have developed several IOBIO web apps including quality control clinical visits, generating a sparse and subjective clinotype derived analysis of genomic alignment and variant data, interrogation of during periods of sickness. This subsequently leads to late potential disease causing variants, and species identification and intervention with modest outcomes. Continuous monitoring could classification of raw sequencing data (see http://iobio.io). help to generate a more objective, pervasive phenotype throughout 4:00 Conference Adjourns the disease continuum. The EU Innovative Medicines initiative €25m major programme, RADAR-CNS (https://www.radar-cns.org/) is exploring the use of remote measurement technologies, utilizing smartphone sensors, consumer wearables, information about smartphone usage, and experience sampling method to predict and avert negative outcomes through monitoring of current clinical states and assessment of future deterioration. 2:30 Developing Digital Biomarkers through Crowdsourcing Larsson Omberg, Vice President, Systems Biology, Sage Bionetworks The high quality sensors embedded in the typical smartphone coupled with the ease of gathering high frequency data is opening up new ways of tracking disease and performing participant centered research. Building biomarkers from this data is a non-trivial task however. In this talk I will present our experience in collecting data from 20,000 participants to build disease biomarkers and how we engaged 400 researchers across the globe to enhance them.

Bio-ITWorld.com | 34 TRACK 10 Pharmaceutical R&D Informatics Collaboration, Data Science and Biologics

Data sets are only continuing to grow larger as pharmaceutical companies generate and collect data from a number of sources, including R&D, clinical, translational, genomic, and health records, and these companies must effectively manage, integrate, and analyze this data to enable more informed decision-making. Furthermore, ensuring this data is of a high quality, consistent, and correct is key to analyzing data and developing actionable insights. Track 10 explores the progress made in the integration and analysis of complex data sets, generated both internally and externally, and real-world data to transform R&D and drive precision medicine.

TUESDAY, MAY 15 DATA INTEGRATION, ANALYTICS, AND is established to connect instruments and workflows, then it COLLABORATION becomes possible to create a connected ecosystem. A connected 7:00 am Workshop Registration Open and Morning Coffee ecosystem allows for R&D organizations to share data, make 10:50 Chairperson’s Remarks informed decisions, and derive insights. 8:00 – 11:30 Recommended Morning Pre-Conference Yuriy Gankin, Vice President, Chief Life Science Officer, Life 12:30 Session Break Workshops* Sciences, EPAM Systems Sponsored by 12:40 Luncheon Presentation I: W1. Data Management for Biologics: Registration and 11:00 R&D Informatics: Real-Time Data to Decisions Unleashing Digital Innovation with Beyond Anastasia Christianson, Vice President, R&D Operations IT, Oncology a Graph-Based Semantic Layer IT, Janssen Jim LaPointe, Managing Director, Life Sciences & Healthcare, Sales, 12:30 – 4:00 pm Recommended Afternoon Pharma R&D needs to “democratize” data to make the right data Cambridge Semantics Inc. Pre-Conference Workshops* available to the right audience at the right time to enable informed W10. Digital Biomarkers in Pharma R&D: Technical decision making. This starts with data management, standardization, Insightful¬ analyses of internal & external R&D data are helping Challenges and Strategies for Advancing Personalized and integration for easy access, including easy import into advanced transform innovative biopharmaceutical companies to maximize Medicine analytics tools and the output to decision support tools. the benefit of their therapeutic products. Graph-based, semantics layer driven R&D data lakes, based on the award winning Anzo * Separate registration required. Please see page 8 for details. 11:30 Cross-Departmental Collaboration: Driving Pharma Smart Data Lake® platform, rapidly integrates and harmonizes R&D Informatics R&D data for immediate exploratory analytics at ‘big data’ scale. 2:00 – 6:30 Main Conference Registration Open Joseph Lehar, Executive Director, Computational Biology, Merck 1:10 Luncheon Presentation II: Celgene’s Sponsored by Research Labs Journey to Become Information-Driven 4:00 PLENARY KEYNOTE SESSION This talk discusses cross-team collaboration and an overview with Cognitive Search of themes in R&D informatics that are driving solutions, drug Please see page 5 for details. discovery, and translational research. Shefali Pathak, Global Search Service Owner, Search and Business Insights, Celgene 5:00 – 7:00 Welcome Reception in the Exhibit Hall with 12:00 pm Making Heterogeneous Data Sponsored by One of the biggest challenges facing pharmaceutical knowledge- Poster Viewing Accessible and Actionable Using Natural workers is the information sprawl and limited availability of tools Language Processing and Machine Learning they can depend on to do their jobs and unify the information landscape. Learn how Celgene tackled these challenges with John Brimacombe, Executive Chairman, Linguamatics WEDNESDAY, MAY 16 Sinequa’s Cognitive Search & Analytics platform to generate AI in the form of NLP-based has proved its value in life new insights from vast scientific research & enterprise data and 7:00 am Registration Open and Morning Coffee sciences. However, there is potential for much wider impact. In this accelerate business and product innovation. talk we will show next generation approaches to put the power of NLP 8:00 PLENARY KEYNOTE SESSION into the hands of a broad user base for scientific knowledge discovery. 1:40 Session Break Sponsored by Please see page 5 for details. 12:15 Creating a Connected Ecosystem to Gain Insights Across R&D 9:45 Coffee Break in the Exhibit Hall with Poster Viewing Kenneth Walker, PhD, Director, Research, Therapeutic Discovery, Amgen Kenneth Walker, PhD, Director, Research, Therapeutic Discovery, Amgen Streamlining laboratory data exchange from molecular biology to preclinical remains a challenge. If an underlying platform

35 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS PHARMACEUTICAL R&D INFORMATICS CONTINUED TRACK 10

NEXT GENERATION DATA SCIENCE IN R&D 3:25 Refreshment Break in the Exhibit Hall with Poster 5:30 Best of Show Awards Reception in the Exhibit Viewing Hall with Poster Viewing 1:50 Chairperson’s Remarks Farida Kopti, PhD, Director, Chemistry/Pharmacology/HTS INTEGRATION AND IMPLEMENTATION OF NEW 7:00 – 10:00 Bio-IT World After Hours @Lawn on D Informatics IT, Merck Research Labs, Merck & Co. PLATFORMS AND ARCHITECTURE Sponsored by 1:55 Next Generation R&D Data Science: The Takeda Data 4:00 Virtual Product Home Co-hosted by Science Institute M Etzard Stolte, PhD, Global Head PTD, Eric Perakslis, PhD, Senior Vice President and Head, Takeda Pharma Technical Development, F. Hoffmann La Roche Data Science Institute; Strategy and Professional Affairs, Takeda During the last 3 years Roche Pharma Technical Development, Pharmaceuticals a global organization of several thousand researchers, has THURSDAY, MAY 17 Takeda R&D has developed a fully integrated Data Science Institute implemented a one-stop-shop for product data and information. comprised of more than 170 diverse data science professionals On the one hand, the underlying big data platform leverages 7:30 am Registration Open and Morning Coffee that manage all aspects of R&D data science and that also a state-of-the-art analytics to help in automated integration, serves as a center of excellence for all of Takeda. Comprised searching, find an expert, and other functionality. On the other of informaticians, biostatisticians, epidemiologists, medical hand, a huge curatorial effort reviewed and migrated millions of 8:00 PLENARY KEYNOTE SESSION & AWARDS outcomes experts, data architects and experts in molecular documents to improve integration quality. PROGRAM profiling and digital devices this team drives all aspects of modern Please see page 5 for details. biopharmaceutical data science for Takeda. 4:30 Things I Didn’t Know I Needed to Know before Attempting to Implement a Cloud-Based Genomics Data 2:25 The Intersection of Data Sciences and Life Sciences Environment 9:45 Coffee Break in the Exhibit Hall and Poster in Rare Diseases Enoch S. Huang, PhD, Executive Director, Head of Computational Competition Winners Announced John Reynders, Vice President, Data Sciences, Strategy, Portfolio, Sciences, Pfizer Worldwide Research and Development and Project Management, Alexion Pharmaceuticals This talk will describe the factors behind a major pharma’s effort ARTIFICIAL INTELLIGENCE IN PHARMA R&D Novel and non-obvious applications of data sciences in rare- to move genomics data processing and analysis to a public disease research, strategy, and business development. Multiple 10:30 Chairperson’s Remarks cloud environment in collaboration with a leading academic case-studies and examples will be shared along with an overview institution. I will discuss unanticipated challenges associated with 10:40 The Promise and the Myth of AI in Transforming of underlying capabilities and methods. implementation, most of which were not technical or funding-related. Biopharma Sponsored by 2:55 A Collaborative Ecosystem Can be Nevertheless, I am optimistic about the future of this platform, John Veytsman, Sr. Business Analyst, R&D Information Technology, and will be sharing the reasons why I believe that this strategy will the Answer Biogen ultimately produce sustainable solutions for pharma R&D. Misha Kapushesky, PhD, CEO, Genestack AI adoption has been mixed across biopharma. AI stands to With the cost of sequencing being driven down, the amount of 5:00 Project Haystack: Universal Access to Sponsored by transform how we work, how we research and how we discover omics data produced is increasing at an unfathomable rate. The Corporate Research History new medicines. However, there is abundant confusion around challenges now faced by pharmaceutical organisations is not what is AI, how does it work and what are the best use cases. Andras Volford, Product Owner, JChem Engines, Biogen is seeking to implement AI in various forms at points of the need for more data, but better integration, management and ChemAxon LLC visualisation of all their data. The solution? A best of breed omics highest leverage to help improve how we collaborate and how our We present the results of an ongoing experimental project helping data ecosystem with flexible and modular architecture. scientists conduct research. This talk will walk through some of chemists and biologists discover information they don’t know the ways AI has been adopted at Biogen and hopefully dispel some Sponsored by 3:10 Co-Presentation: Breaking Down Data exists: finding relevant data during design of drug candidates from of the myths of what AI can do for biopharma. idea to synthesis, universal, domain agnostic, simple access to the Silos and Leveraging External and complete research history, indexing arbitrary amount of data and Unstructured Data to Improve R&D Decisions running structure search in a distributed environment. Richard Wendell, Founder & CEO, tellic Sponsored by Ranjith Raghunath, Director, Head, Platform and Tools, Data Center 5:15 Leveraging Modern Software to Organize, of Excellence, GSK Optimize, and Measure Biologics R&D Derek Marren, Director, Research IT, Biology Systems & Data Sajith Wickramasekara, CEO & Co-Founder, Benchling Integration, Eli Lilly Scaling biologics infrastructure is an enormous challenge faced by Topics include: 1) How companies can harness the power of R&D IT. Benchling is a biologics-native informatics platform used external and unstructured data 2) Engaging the C-suite to break by over 100,000 scientists to configure biologics workflows and down legacy data and organizational silo’s and drive innovation 3) run day-to-day R&D. This presentation will highlight how Benchling Best practices for how R&D IT can engage the business. has helped leading biopharma companies organize, optimize, and measure their biologics R&D. 36 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS PHARMACEUTICAL R&D INFORMATICS CONTINUED TRACK 10

11:10 Discovering Unknown Insights: How We Should Be DATA HUBS FOR ADVANCED ANALYTICS Recycling Data, Not Just Our Trash Derek Marren, Director, Research IT, Biology Results, Data 1:55 Chairperson’s Remarks Foundations, Laboratory Instrumentation Support Service & Michael H. Elliott, CEO, Atrium Research and Consulting Neuroscience, Eli Lilly 2:00 R&D Data Hub – Connecting Data from Multiple Silos As more data is collected and to achieve its maximum potential, to Enable Analytics there is value in semantically linking and connecting data sources to bring together public and proprietary/private data sources. Bryan Takasaki, PhD, Director, R&D Information US Lead, Experience how Lilly and Open PHACTS have collaboratively AstraZeneca created an innovative solution to ingest data from disparate This talk will discuss AstraZeneca’s R&D data hub and how sources into an ecosystem using graph databases within an open it is connecting data from multiple siloes to drive and enable source environment. Once integrated, viewing the behavior in operational dashboards and advanced analytics. We will examine the data will present unforeseen and tease out new scientifically the data warehouse approach, how data was integrated, and what interesting insights that we desire to develop better understanding types of reports and analytics are available for R&D projects. and support AI methods... the end game of driving toward better medicine and reuse of data connected and integrated data, 2:30 An Advanced Analytics Platform to Maximize the combined with data handling philosophy that all can ascribe to and Value of Our Small Molecule Project Data Hub benefit from academic and pharma scientist alike. Roman Affentranger, Head, Small Molecule Discovery Workflows, Roche Sponsored by 11:40 A Pre-Competitive Technology We present a strategic platform for advanced analytics to Platform for Pharma maximize the value of our recently updated drug discovery project Joseph Donahue, Managing Director, Accenture data hub. We will discuss specialized analytics extensions for chemistry and PK/PD, intelligent small-molecule building block 12:10 pm Session Break search and filtering, integrated property prediction services, and broad data access to internal and external sources. 12:20 Luncheon Presentation I: Managing Sponsored by Biomedical Data and Metadata in Large 3:00 CO-PRESENTATION: Leveraging a R&D Sponsored by Scale Collaborations Data Hub Platform for Next Generation of Georges Heiter, Founder, Databiology Clinical Data Review Data Commons and new Population Scale Omics and Imaging Krista McKee, Director, Data Analytics, Takeda Projects continue to multiply. We will discuss strategies and Raveen Sharma, Specialist Leader, Deloitte Consulting LLP solutions to address collaboration and data integration in a world *Contributed work: Ramin Daron, Senior Director, Data Architecture, lacking universal standards and with a plethora of regulatory Takeda and Sunny Shahdadpuri, Senior Consultant, Deloitte frameworks. Join us together with leaders in large-scale Consulting LLP biomedical collaborations to share insights about at some real The Data and Analytics Hub platform was conceived, designed, world use cases. and built to address issues of data transparency, trust, and 12:50 Luncheon Presentation II: Zen and Sponsored by accessibility. This will support the efficient generation of insights the Art of Data Science Maintenance for functions across R&D. In this presentation, we will focus on a critical use case of the platform, clinical data review/medical Jabe Wilson, PhD, Consulting Director, Text and Data monitoring that will ultimately allow for efficient cross-study and Analytics, Elsevier, Inc. cross-compound analysis which will advance our ability to interact You want insights from your Data: Use historic data for predictive with the data. modeling; Power virtualized R&D for data sharing; and, Mine Real World data to understand patients and markets. Is this an Art or 4:00 Conference Adjourns a Science? Come learn how you can use current technologies to integrate multiple data sources into a semantic infrastructure, enabling delivery of data for machine learning processes. 1:20 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing

37 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Clinical Genomics TRACK 11 Data Analytics in a Dynamic Landscape

As genomic testing becomes more routine, the data generated are more complete, but also more complex. Applications for analyzing, storing, processing, exploring, and sharing these dynamic data must keep pace with a variant landscape that is constantly being refined by new information and new classifications. Track 11 continues its tradition of exploring ways we are analyzing genome variant data to improve researchers’ understanding of human health and disease leading to medically actionable results.

TUESDAY, MAY 15 11:00 Accelerating and Securing Mendelian Patient 12:30 Session Break Diagnosis 7:00 am Workshop Registration Open and Morning Coffee 12:40 Luncheon Presentation (Sponsorship Opportunity Gill Bejerano, PhD, Associate Professor, Computer Science, Developmental Biology & Pediatrics (Medical Genetics), Stanford Available) or Enjoy Lunch on Your Own 8:00 – 11:30 Recommended Morning Pre-Conference University 1:40 Session Break Workshops* The talk consists of two main parts: I present our efforts to W6. An Intro to Blockchain in Life Sciences accelerate genetic diagnosis from whole genome data, including ANALYZING VARIANTS - MOVING BEYOND our portal at amelie.stanford.edu. I also discuss our recent IDENTIFICATION 12:30 – 4:00 pm Recommended Afternoon Pre- seminal results (Jagadeesh, et al, Science) in protecting patient Conference Workshops* genomes, and their potential implications for the future of genome 1:50 Chairperson’s Remarks data-sharing. Catherine Brownstein, MPH, PhD, Scientific Director, Gene Discovery, W10. Digital Biomarkers in Pharma R&D: Technical Manton Center for Orphan Disease Research, Boston Children’s Challenges and Strategies for Advancing Personalized 11:30 Building a Digital Biobank for Military Precision Hospital & Harvard Medical School Medicine Medicine 1:55 Accelerating Rare Disease Diagnosis Using * Separate registration required. Please see page 8 for details. Michael Holmes, Lt Col, USAF, MSC, PMP, CPHIMS, Chief, Innovations and Information Technology, Air Force Medical Support Computer-Aided Differential Diagnosis Agency, United States Air Force Paul McDonagh, PhD, Senior Director, Data Sciences, Alexion 2:00 – 6:30 Main Conference Registration Open Ezekiel Maier, PhD, Genomic Data Scientist, Strategic Innovation Pharmaceuticals Group, Booz Allen Hamilton Rare diseases often have confusing combinations of symptoms 4:00 PLENARY KEYNOTE SESSION The Air Force Medical Service is developing a precision medicine and variants of unknown significance. Diagnosing this type of Please see page 5 for details. platform named the Digital Biobank. The DB will enable scalable patient is difficult and creates unnecessary delays in management. and secure storage, and analysis of massive volumes of high- Several analysis algorithms were created and compared for their 5:00 – 7:00 Welcome Reception in the Exhibit Hall with throughput heterogeneous data. The integration and analysis of ability to use real patients’ symptoms to provide a prioritized shortlist of genes, diseases and treatment options. Successes, Poster Viewing genomic data, electronic health records, and other health data holds immense potential for optimizing health and wellness of problems and lessons learnt will be discussed. service members and their beneficiaries. WEDNESDAY, MAY 16 2:25 A Global Platform for Rare Disease 12:00 pm Genomics-Guided Pathogen Surveillance and Catherine Brownstein, MPH, PhD, Scientific Director, Gene Discovery, 7:00 am Registration Open and Morning Coffee Outbreak Response Manton Center for Orphan Disease Research, Boston Children’s Hayden Metsky, Graduate Research Assistant, Sabeti Lab, Broad Hospital & Harvard Medical School 8:00 PLENARY KEYNOTE SESSION Institute, Department of Electrical Engineering and Computer In our research on very early onset psychosis and other rare Please see page 5 for details. Science, Massachusetts Institute of Technology conditions, we are making discoveries at a rapid pace. With the Deep sequencing of viral genomes has offered key insights discovery of additional cases (globally) and functional work, we into the evolution and spread of human viral pathogens. I talk often need to go back and revise earlier conclusions. Here we give 9:45 Coffee Break in the Exhibit Hall with Poster Viewing in particular about how genome sequencing has informed our case studies and examples of how we partner with clinicians to provide the best possible care. BUILDING, SHARING, AND SECURING GENOMIC understanding of the 2015-2016 Zika virus epidemic on a global scale, and of a recent mumps outbreak in Massachusetts at a DATA high resolution. But there are many difficulties to overcome in 10:50 Chairperson’s Remarks order to realize more effective pathogen surveillance and outbreak response, and I discuss emerging genomic technologies that offer promising solutions to these challenges.

38 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CLINICAL GENOMICS CONTINUED TRACK 11

2:55 Target Discovery at UCB Pharma Using Genetics of 5:30 Best of Show Awards Reception in the Exhibit 11:40 Pathogen Genomics in Public Health Rare Mendelian Diseases Hall with Poster Viewing Duncan R. MacCannell, PhD, CSO, Office of Advanced Molecular Ioana Cutcutache, Principal Scientist, Translational Bioinformatics, Detection, National Center for Emerging & Zoonotic Infectious UCB Pharma 7:00 – 10:00 Bio-IT World After Hours @Lawn on D Diseases, Centers for Disease Control and Prevention Studying rare Mendelian diseases, through next-generation Microbial genomics is playing a rapidly increasing role in public Sponsored by sequencing, is a powerful tool to causally link mutations in a gene Co-hosted by health, from detecting and responding to outbreaks, to providing to phenotypic outcomes in humans by highlighting fundamental M better data for disease surveillance, to monitoring the impact molecular mechanisms that can serve as a gateway to treating or of vaccines, to developing a new generation of diagnostics. understanding more common illnesses. UCB Pharma shares our This presentation provides an overview of how next-generation sequencing is transforming infectious disease public health in the genetic strategy for target discovery through identification of novel THURSDAY, MAY 17 rare disease causing genes and progress we’ve made in this area, United States. including high-level outputs from trio whole genome sequencing for ~50 patients with rare genetic epilepsies. Emphasis will be 7:30 am Registration Open and Morning Coffee 12:10 pm Session Break given to analysis and interpretation of patient-derived genetic data. 12:20 Luncheon Presetation I: Developing A Sponsored by 8:00 PLENARY KEYNOTE SESSION 3:25 Refreshment Break in the Exhibit Hall with Poster Digital Transformation Roadmap to Future-Proof & AWARDS PROGRAM Viewing Your R&D Organization And Fuel Scientific Please see page 5 for details. Innovation 4:00 Discovering Mobile Element Insertions in Human Scott Weiss, PhD, Vice President, Product Strategy, IDBS Genomes: Population Genetics, Human Diseases, and 9:45 Coffee Break in the Exhibit Hall and Poster Join Dr. Scott Weiss for this session as he illustrates the ways Clinical Genomics Competition Winners Announced digital is transforming R&D; how it delivers value in scientific Scott E. Devine, PhD, Associate Professor, Institute for Genome organizations, and what you need to do to prepare for this Sciences, University of Maryland School of Medicine APPLYING CLOUD FOR DISEASE MONITORING transformation in your organization. Learn how digital capabilities can be applied across R&D to enable future success, advance 4:30 Using Clinical WGS to Detect Small Sequence 10:30 Chairperson’s Remarks innovation and ensure compliance. Changes, Structural Variants, Short Tandem Repeats and Duncan R. MacCannell, PhD, CSO, Office of Advanced Molecular Mitochondrial Variants Detection, National Center for Emerging & Zoonotic Infectious 12:50 Luncheon Presentation II: Sponsored by Diseases, Centers for Disease Control and Prevention Alexander Kaplun, PhD, Director, Product Management, Variantyx, Inc. Biotech-in-a-Box: Turn-Key Cloud PCR-free whole genome sequencing provides unique opportunities 10:40 A Cloud-Based Bioinformatics Solution for Infrastructure for Enterprise-Grade Research for detection of structural variants, trinucleotide repeat expansions Infectious Disease Diagnostics Elliot Menschik, MD, PhD, Healthcare and Life Science Ventures, and mitochondrial heteroplasmy. This talk describes the pipeline Rita R. Colwell, PhD, DSc, Distinguished University Professor, Amazon Web Services that we have built to detect, analyze, interpret and report on these University of Maryland Institute of Advanced Computer Studies, This talk introduces the AWS Biotech Blueprint, a toolset enabling classes of variants for rare disease patient samples, resulting in University of Maryland College Park biotechs to rapidly establish enterprise-grade research environments improved diagnostic yield. Currently many pathogens escape detection in samples when in the cloud, supporting both wet and computational labs. Optimized traditional assays, such as culture and PCR, are employed. It is out-of-the-box for security, resilience and regulatory compliance, it 5:00 “Perfect Storm” Components, Including Infectious further automates the installation and integration of leading scientific Disease and Stem Cell Pathologies, Omics and Their critical to develop unbiased, timely methods of pathogen detection. This presentation describes our success utilizing such facile applications under the customer’s direct control. The talks will include Contributions to Degenerative and Neoplastic Disease methods for infectious disease research with various pilot studies illustrations drawn from successful customer deployments. Dennis A. Steindler, PhD, Senior Investigator and Director, including necrotizing fasciitis, infective endocarditis, urinary tract 11:20 Dessert Refreshment Break in the Exhibit Hall with Neuroscience and Aging Lab, Jean Mayer USDA Human Nutrition infections, and wound infections. Methods of metagenomic Research Center on Aging; Professor, Nutrition, The Gerald J. and identification and antimicrobial resistance profiling will be presented. Poster Viewing Dorothy R. Friedman School of Nutrition Science and Policy; Senior Scientist, CTSI, Tufts University 11:10 Cloud-Based Asynchronous Virtual Tumor Board INTERPRETING VARIANTS OF UNCERTAIN There are common elements and mechanisms involved in (VTB) to Operationalize and Scale the Democratization of SIGNIFICANCE Precision Oncology degenerative and neoplastic diseases. Within a “perfect storm” of 1:55 Chairperson’s Remarks components that contribute to neurodegenerative diseases and Edik Blais, PhD, Computational Biologist, Perthera, Inc. Eric Klee, PhD, Associate Director of Bioinformatics, Mayo Center brain cancer, there are genetics, stem cell pathologies, infectious Since 95% of cancer patients are treated in the community, the for Individualized Medicine, Department of Health Sciences disease and chronic inflammation. Infectious disease elements ability to provide a leading-edge, scalable precision medicine Research, Mayo Clinic include chronic infections from pathogens like T. gondii, and workflow is of critical importance. We have developed a scalable, involve transcellular spread of disease mediated by prion-like asynchronous Virtual Tumor Board (VTB) that can bring together extracellular vesicles. patients’ clinical and molecular data along with clinical evidence to the fingertips of the clinician for precision treatment planning. 39 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CLINICAL GENOMICS CONTINUED TRACK 11

2:00 Investigating Heterogeneity of Innate Lymphoid Cells information deluge, much of which is irrelevant, outdated and (ILCs) in Inflammatory Bowel Disease Using Single-Cell occasionally inaccurate. Additionally, matching their diagnosis to best- RNA Seq Analysis in-class treatments or potential clinical trials, while simultaneously learning to navigate an extremely complex healthcare system Ramya Gamini, PhD, Postdoctoral Research Fellow, Precision is daunting, even for the most highly trained physicians. We will Medicine, Early Clinical Development, Pfizer, Inc. explore various platforms aimed at improving patient outcomes by Innate lymphoid cells (ILCs) have been shown to mediate immune leveraging technology to help educate, track, and connect patients and metabolic homeostasis and play an essential role in the with personalized resources while simultaneously working to improve pathogenesis of certain inflammatory diseases, predominantly the care continuum and the development of new treatments. We through cytokine-activated cytokine production. We explore will explore the nexus of healthcare networks and their IT systems, the heterogeneity of ILCs to further investigate their role in IBD. clinical decision-making and delivery, R&D, and patients, for whom Through using single-cell transcriptomics approaches we define we all create our innovation solutions. Attendees will be interested to the different ILC subtypes and disease-relevant ILCs and discover understand how various groups are working to increase value across novel and key marker genes and pathways that impact ILC biology the entire system by bringing laboratory, clinical and pharmaceutical to further evaluate IBD disease-causing biomarkers. science, real-world evidence and patient-reported data together with technology and artificial intelligence to solve health challenges. These 2:30 Disambiguating Variants of Uncertain Significance in approaches offer the opportunity to generate deeper insights into how Clinical Sequencing therapies perform in the real world and harness that understanding to Eric Klee, PhD, Associate Director of Bioinformatics, Mayo Center improve efficiency, effectiveness, value, and ultimately, patient care. for Individualized Medicine, Department of Health Sciences Research, Mayo Clinic Clinical next-generation sequencing has transformed molecular 4:00 Conference Adjourns testing and dramatically impacted our ability to provide patients with genetic diagnoses. However, a significant challenge exists in interpreting variants where the impact on a disease is unclear. Here we describe how complementary -omics, protein modeling, and in vitro and in vivo testing are used to clarify the pathogenicity of variants of uncertain significance.

3:00 PANEL DISCUSSION: Can We Improve Breast Cancer Patient Outcomes through Artificial Intelligence? John Methot, Director, Health Informatics Architecture, Dana-Farber Cancer Institute (Chairperson) Maya Said, ScD, President & CEO, Outcomes4me, Inc. (Moderator) Panelists: Regina Barzilay, PhD, MacArthur Fellow and Delta Electronics Professor, Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science; Member, Computer Science and Artificial Intelligence Laboratory, MIT Kevin Hughes, MD, Co-Director, Avon Breast Evaluation Program, Massachusetts General Hospital; Associate Professor of Surgery, Harvard Medical School; Medical Director, Bermuda Cancer Genetics Risk Assessment Clinic Osama Rahma, MD, Assistant Professor of Medicine, Center For Immuno-Oncology, Dana-Farber Cancer Institute Newly diagnosed cancer patients attempting to understand their treatment options face the overwhelming task of filtering an

40 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS TRACK 12 Cancer Informatics Applying Computational Biology to Cancer Research & Care

Track 12 explores the important technology and informatics trends and challenges of applying computational biology to cancer research and care. Themes that will be covered in expert-led presentations include collaboration and network models, data access/management/integration strategies, and applications of biological interpretation to aid in research at the bench side or care at the bedside.

TUESDAY, MAY 15 11:00 KEYNOTE PRESENTATION: Can AI Beat Cancer? SCALABILITY AND REPRODUCIBILITY Jay (Marty) Tenenbaum, PhD, Founder and Chairman, Cancer Commons 7:00 am Workshop Registration Open and Morning Coffee 1:50 Chairperson’s Remarks AI can beat go and drive cars, but can it beat cancer? Every year, Baisong Huang, Principal Statistical Analyst, Novartis Institutes for many thousands of cancer patients die unnecessarily because their BioMedical Research 8:00 – 11:30 Recommended Morning Pre-Conference doctors do not know the optimal way to treat them with currently Workshops* available therapies. Physicians and patients alike, struggle with 1:55 Visualizing Single-Cell Phylogenetics and Cancer W3. D2K, Transforming Data to Knowledge with Cloud, information overload and conflicting expert opinions in making Evolution IoT & Machine Learning (AI) – Part I treatment decisions. Moreover, effective treatments increasingly involve intelligently designed, individually tailored, sequences Cydney Nielsen, PhD, Research Associate, Pathology and Laboratory 12:30 – 4:00 pm Recommended Afternoon and combinations, and there are far more plausible multi-drug Medicine, University of British Columbia Pre-Conference Workshops* regimens than can be efficiently tested in clinical trials. AI can help This talk describes our work in visualizing the genomes of individual cancer cells. I will highlight our web-based visualization platform, W11. Data Science Driving Better Informed Decisions by connecting physicians and patients to the right information at the right time, and by planning and coordinating the thousands of Montage, that employs a search-engine backend to provide highly * Separate registration required. Please see page 8 for details. formal and informal treatment experiments that take place daily in scalable and interactively linked views of single cell genomics data. oncology, to optimize individual outcomes and maximize collective I will also discuss the design and application of our E-scape suite for 2:00 – 6:30 Main Conference Registration Open knowledge. We will describe a developing global collaboration to visualizing temporal and spatial clonal dynamics in cancer. realize this bold vision, involving leading oncologists, cancer and data scientists, and AI experts from both academia and industry, 2:15 CanvasXpress: A Versatile Interactive High- 4:00 PLENARY KEYNOTE SESSION and discuss opportunities for all to participate. Resolution Scientific Multi-Panel Visualization Toolkit Please see page 5 for details. Baohong Zhang, Director of Clinical Bioinformatics, Precision 12:00 pm Empowering Medical Practitioners Sponsored by Medicine, Pfizer, Inc. 5:00 – 7:00 Welcome Reception in the Exhibit Hall with to Train Models for AI CanvasXpress (http://canvasxpress.org) was developed as the core Poster Viewing Srinivas Chitiveli, Offering Manager - PowerAI Vision, visualization component for bioinformatics and systems biology IBM Systems IBM analysis at Bristol-Myers Squibb and further enhanced by scientists around the world and served as a key visualization engine for many WEDNESDAY, MAY 16 Medical practitioners are adopting AI embedded applications that diagnose diseases to ensure quick, accurate treatments for their popular bioinformatics tools. It offers a rich set of interactive plots to display scientific and genomics data, such as oncoprint of cancer 7:00 am Registration Open and Morning Coffee patients. Current practices of developing AI applications can be complex and resource intensive. IBM PowerAI Vision, empowers mutations, heatmap, 3D scatter, violin, radar, and profile plots. Radiologists to label datasets, train and even deploy models to 8:00 PLENARY KEYNOTE SESSION analyze images and videos helping pinpoint anomalies. Attend this 2:35 MJFF Initiative for Open Source PD Research and Please see page 5 for details. session to see IBM PowerAI Vision firsthand. Data Integration Luba Smolensky, Director, Data Science & Analytics, The Michael J. 12:30 Session Break Fox Foundation 9:45 Coffee Break in the Exhibit Hall with Poster Viewing As the world’s largest nonprofit funder of Parkinson’s research, 12:40 Luncheon Presentation (Sponsorship Opportunity The Michael J. Fox Foundation (MJFF) is dedicated to accelerating MACHINE LEARNING AND ARTIFICIAL Available) or Enjoy Lunch on Your Own a cure for Parkinson’s disease and improved therapies for those INTELLIGENCE IN CANCER INFORMATICS 1:40 Session Break living with the condition today. MJFF is leading a Parkinson’s 10:50 Chairperson’s Remarks research data curation and standardization effort that will accelerate insights into the disease. The goal is to provide access Ted Slater, Global Head, Scientific AI & Analytics, Cray Inc. to curated datasets in a tranSMART™ platform for all researchers across academia, public institutions, and industry.

41 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CANCER INFORMATICS CONTINUED TRACK 12

2:55 Collaborative Drug Discovery with Sponsored by 5:00 Ontology Learning and Personalization Sponsored by limited numbers of treatments for phenotypes of interest. Herein, LiveDesign: Integrated Computational Anna Lyubetskaya, Data Scientist, Engineering, we apply co-expression network analysis to safety assessment Chemistry and Cheminformatics Copyright Clearance Center using rat liver gene expression data to define 415 modules, exhibiting unique transcriptional control, organized in a visual In this talk, we’ll discuss a framework that enables learning of Melissa Landon, PhD, Regional Director, Applications Science, representation of the transcriptome. Compared to gene-level ontologies in a semi-supervised manner through the best machine Northeast; Director, Education, Schrödinger analysis alone, the network approach identifies significantly more learning and distributed computing approaches. We discuss Drug Discovery has become increasingly dependent upon a plethora phenotype-gene associations, including established and novel issues inherent to data science: input data filtering and enrichment, of computational tools and data, requiring collaboration across biomarkers of liver injury. computational and medicinal chemistry project teams for ideation, robust iterative learning, cross-validation, rapid prototyping, and querying, and project management. Herein we present LiveDesign, a transition between prototyping and production. 11:40 Advancing Clinical NGS Test Development Using highly-collaborative web-based platform for workflow management Thousands of Pediatric Cancer Samples on St. Jude Cloud by bringing computational modeling alongside experimental data 5:30 Best of Show Awards Reception in the Exhibit Michael Rusch, Director of Bioinformatics Research Development, and informatics, presented with real-world examples. Hall with Poster Viewing St. Jude Children’s Research Hospital 3:25 Refreshment Break in the Exhibit Hall with Poster Viewing 12:10 pm Session Break 7:00 – 10:00 Bio-IT World After Hours @Lawn on D APPLICATIONS OF GENOME ANALYSIS AND 12:20 Luncheon Presentation (Sponsorship Opportunity Sponsored by MACHINE LEARNING IN CANCER Co-hosted by Available) or Enjoy Lunch on Your Own M 4:00 Building Integrated Pipeline for Cancer Genome 1:20 Dessert Refreshment Break in the Exhibit Hall with Analysis: Role of Mobile Genetic Elements in Cancers Poster Viewing Kamal Rawal, PhD, Senior Assistant Professor, Biotechnology and THURSDAY, MAY 17 Bioinformatics, Jaypee Institute of Information Technology (JIIT) DATA MINING FOR DISEASE CLASSIFICATION Transposable elements (TEs), or mobile genetic elements (MGEs), 7:30 am Registration Open and Morning Coffee 1:55 Chairperson’s Remarks are the most abundant elements in mammalian genomes and found John Methot, Director, Health Informatics Architecture, Dana-Farber in nearly 100 cases of diseases including cancers. Here, we present Cancer Institute a new method (software pipeline) to determine exact position and 8:00 PLENARY KEYNOTE SESSION insertion mechanism of transposable elements in cancer genomes & AWARDS PROGRAM 2:00 Disease Classification in the Era of Data-Intensive using machine learning method. We also show new techniques to Please see page 5 for details. Medicine integrate somatic mutation data with results from genome-wide Kanix Wang, PhD, Research Professional, Booth School of Business, characterizations experiments and clinical data elements. 9:45 Coffee Break in the Exhibit Hall and Poster Institute for Genomics & Systems Biology, University of Chicago 4:30 Analysis of Cancer Genome Variation from Long DNA Competition Winners Announced We used insurance claims for over one-third of the U.S. and RNA Sequencing population to create a subset of 128,989 families (481,657 unique APPLICATION OF NGS TO ONCOLOGY, IMMUNOLOGY, individuals). Using these data, we estimated the heritability Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared DIAGNOSTICS, AND THERAPEUTIC DEVELOPMENT and familial environmental patterns of 149 diseases. We then Resource and Assistant Professor of Pathology and Laboratory computed the environmental and genetic disease classifications Medicine, Rutgers Cancer Institute of New Jersey 10:30 Chairperson’s Remarks for a set of 29 complex diseases after inferring their pairwise Cancer genomes are full of rearrangements which drive the 10:40 Instantiating a Single Point of Truth for Genomic genetic and environmental correlations. oncogenesis. Using long reads, we have been able to accurately Reference Data determine the structure of important cancer genes in breast 2:30 Enviro-Geno-Pheno State Approach and State-Based David Herzig, Scientist, Research Informatics, Roche Pharmaceuticals cancer including BRCA1 and HER2. The variation in these genes Biomarkers for Differentiation, Prognosis, Subtypes, and cannot be accurately determined with short reads due to their This talk will exemplify how expression and mutation data were Staging made actionable by consolidating a scattered landscape of repetitive structure. In addition, we have used RNA sequencing Lei Xu, PhD, Director, Centre for Cognitive Machines and genomic reference data into a real SPoT. to determine the full sequence of kinase fusions in cancer. These Computational Health; Zhiyuan Chair Professor, Department of fusions play a critical role in the progression of many types of 11:10 A Network-Based Approach to Understanding Drug Computer Science and Engineering, Shanghai Jiao Tong University cancer and understanding their full structure will lead to greater Toxicity In the joint space of geno-measures, pheno-measures, and enviro- insight and improved therapies. Yue Webster, PhD, Principal Research Scientist, Informatics measures, one point represents a bio-system behavior and a subset Capabilities, Research IT, Eli Lilly and Company of points that locate adjacently and share a common system status represents a ‘state’. The system is characterized by such states Despite investment in toxicogenomics, nonclinical safety studies learned from samples. This enviro-geno-pheno state is considered a are still used to predict clinical liabilities for new drug candidates. biomarker, indicating ‘health/normal’ versus ‘risk/abnormal’ together Network-based approaches for genomic analysis help overcome with its associated enviro-geno-pheno condition. challenges with whole-genome transcriptional profiling using

42 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS CANCER INFORMATICS CONTINUED TRACK 12

3:00 PANEL DISCUSSION: Can We Improve Breast Cancer Patient Outcomes through Artificial Intelligence? Maya Said, ScD, President & CEO, Outcomes4me, Inc. (Moderator) Panelists: Regina Barzilay, PhD, MacArthur Fellow and Delta Electronics Professor, Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science; Member, Computer Science and Artificial Intelligence Laboratory, MIT Kevin Hughes, MD, Co-Director, Avon Breast Evaluation Program, Massachusetts General Hospital; Associate Professor of Surgery, Harvard Medical School; Medical Director, Bermuda Cancer Genetics Risk Assessment Clinic Osama Rahma, MD, Assistant Professor of Medicine, Center For Immuno-Oncology, Dana-Farber Cancer Institute Newly diagnosed cancer patients attempting to understand their treatment options face the overwhelming task of filtering an information deluge, much of which is irrelevant, outdated and occasionally inaccurate. Additionally, matching their diagnosis to best- in-class treatments or potential clinical trials, while simultaneously learning to navigate an extremely complex healthcare system is daunting, even for the most highly trained physicians. We will explore various platforms aimed at improving patient outcomes by leveraging technology to help educate, track, and connect patients with personalized resources while simultaneously working to improve the care continuum and the development of new treatments. We will explore the nexus of healthcare networks and their IT systems, clinical decision-making and delivery, R&D, and patients, for whom we all create our innovation solutions. Attendees will be interested to understand how various groups are working to increase value across the entire system by bringing laboratory, clinical and pharmaceutical science, real-world evidence and patient-reported data together with technology and artificial intelligence to solve health challenges. These approaches offer the opportunity to generate deeper insights into how therapies perform in the real world and harness that understanding to improve efficiency, effectiveness, value, and ultimately, patient care.

4:00 Conference Adjourns

43 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS TRACK 13 Data Security Meeting the Challenge in the Big Data-Centric World

Data security is defined by the processes and mechanisms in place that prevent data misuse and identify threat risks. However, many biopharmaceutical research data sources, from IP to genomic to mobile, require different levels of security. The reality is that it matters not where your data exist, but the ways in which data are accessed. Track 13 addresses security services from private to cloud-based systems for academic, government, clinical, and pharmaceutical networks.

TUESDAY, MAY 15 (Jagadeesh, et al, Science) in protecting patient genomes, and their 1:55 Protecting Genome Data Privacy and Security in the potential implications for the future of genome data sharing. Cloud 7:00 am Workshop Registration Open and Morning Coffee 11:30 Building a Digital Biobank for Military Precision Shuang Wang, PhD, Assistant Professor, Department of Biomedical Informatics, University of California, San Diego Medicine 8:00 – 11:30 Recommended Morning Pre-Conference The outsourcing of genome data into public cloud computing Michael Holmes, Lt Col, USAF, MSC, PMP, CPHIMS, Chief, Workshop* settings raises concerns over privacy and security. Significant Innovations and Information Technology, Air Force Medical Support advancements in secure computation methods have emerged over W6. An Intro to Blockchain in Life Sciences Agency, United States Air Force the past several years. In this presentation, we overview the privacy * Separate registration required. Please see page 8 for details. Ezekiel Maier, PhD, Genomic Data Scientist, Strategic Innovation risks that are associated with genome data and discuss technical Group, Booz Allen Hamilton solutions to safeguard genome data analysis in the cloud. 2:00 – 6:30 Main Conference Registration Open The Air Force Medical Service is developing a precision medicine platform named the Digital Biobank. The DB will enable scalable 2:25 It’s Raining Exomes: Cloud-Enabled Genomics – and secure storage, and analysis of massive volumes of high- Handling >250k Samples 4:00 PLENARY KEYNOTE SESSION throughput heterogeneous data. The integration and analysis of John Penn, MSc, Manager, NGS Data Analysis, Regeneron Genetics Please see page 5 for details. genomic data, electronic health records, and other health data Center, Regeneron holds immense potential for optimizing health and wellness of Processing, structuring, and analyzing the data for 250k+ exomes 5:00 – 7:00 Welcome Reception in the Exhibit Hall with service members and their beneficiaries. requires a scalable and customizable compute framework. Cloud Poster Viewing 12:00 pm Genomics-Guided Pathogen Surveillance and computing provides the adaptable infrastructure to quickly and facilely adjust, add, and modify tools, processes and frameworks Outbreak Response WEDNESDAY, MAY 16 to address any and all challenges that arise in the mass production Hayden Metsky, Graduate Research Assistant, Sabeti Lab, Broad of genomic data. Institute, Department of Electrical Engineering and Computer Sponsored by 7:00 am Registration Open and Morning Coffee Science, Massachusetts Institute of Technology 2:55 Orion: Delivering Drug Design and Deep sequencing of viral genomes has offered key insights Discovery Workfloes in the Cloud 8:00 PLENARY KEYNOTE SESSION into the evolution and spread of human viral pathogens. I talk Andy Maynard, Senior Applications Scientist, OpenEye Scientific in particular about how genome sequencing has informed our Please see page 5 for details. Orion is OpenEye’s cloud-based drug discovery platform. It unites understanding of the 2015-2016 Zika virus epidemic on a global highly optimised methods for computational drug discovery, scale, and of a recent mumps outbreak in Massachusetts at a 9:45 Coffee Break in the Exhibit Hall with Poster Viewing developed in the course of delivering innovative scientific high resolution. But there are many difficulties to overcome in solutions to pharmaceutical R&D for over two decades, with the order to realize more effective pathogen surveillance and outbreak PROTECTING PATIENT PRIVACY WHILE DATA scale, reliability, and cost-effectiveness of cloud computing. Built response, and I discuss emerging genomic technologies that offer cloud-native from the ground up, Orion offers collaborative drug SHARING promising solutions to these challenges. discovery and design capabilities on an unprecedented scale. 10:50 Chairperson’s Remarks 12:30 Session Break 3:10 Sponsored Presentation (Opportunity Available) 11:00 Accelerating and Securing Mendelian Patient 12:40 Luncheon Presentation (Sponsorship Opportunity Diagnosis 3:25 Refreshment Break in the Exhibit Hall with Poster Available) or Enjoy Lunch on Your Own Gill Bejerano, PhD, Associate Professor, Computer Science, Viewing Developmental Biology & Pediatrics (Medical Genetics), Stanford 1:40 Session Break University 4:00 Collaborative Simulation Development Accelerated by Cloud-Based Computing and Software as a Service Model The talk consists of two main parts: I present our efforts to accelerate PROTECTING PATIENT GENOME PRIVACY IN CLOUD genetic diagnosis from whole genome data, including our portal Howard J. Stamato, MS, Consultant; formerly Associate Director, at amelie.stanford.edu. I also discuss our recent seminal results 1:50 Chairperson’s Remarks Drug Product Science and Technology, Bristol-Myers Squibb Collaborative development of simulations can be enabled by

44 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA SECURITY CONTINUED TRACK 13

cloud-based computing capability and flexible access to software. 10:40 Healthcare Data Exchange Framework: Scalable FEATURED SESSION: BIOTEAM TOWN HALL Faster development and consumption of models is expected from Economy of Secure Information and Services 1:55 Sponsor Introduction Sponsored by having a system in which to share the right information in the right Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- context. A system like this has been proposed for a consortium of Performance Integrated Virtual Environment (HIVE), FDA Scott Jeschonek, Director, Cloud Services, pharmaceutical companies and is expected to bring advantages Avere Systems This project demonstrates a unique framework that enables digital and further efficiencies to delivering medicines for patients. transformation of healthcare at a scale that was not possible 4:30 Presentation to be Announced before. Healthcare Data Exchange Framework has a potential to liberate data, empower patient ownership of data and create a free 2:05 – 4:00 PANEL SESSION: BioTeam Town Hall: 5:00 Overcoming the Challenges of Sharing Sponsored by market where data assetization and securitization might serve as 2018 Bio-IT Trends and Migrating Large Data Sets in Healthcare incentives for data sharing. Chris Dwan, Senior Technologist and Independent Life Sciences and Life Sciences Consultant (Moderator) 11:10 Healthcare Security Framework David Mostardi Senior Engineer, IBM Aspera Ari Berman, PhD, Vice President and General Manager of Consulting Jim McGinnis, PhD, Assistant Professor, Engineering Technology, Services, BioTeam, Inc. Healthcare & research are experiencing unprecedented growth in The University of Memphis data. Legacy file sharing & cloud migration tools rely on technology Tanya Cashorali, Founder, TCB Analytics Healthcare is in a vulnerable position for infiltration or hacking of that can’t handle such size and volume. Learn through real-world Kristen Cleveland, PMP, Director of Operations, BioTeam, Inc. data. Sensitive patient data, financial data of the entity and insurance use cases how IBM Aspera accelerates R&D cycles, speeds information are just some of the data that needs to be protected. The Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, data workflows, and impacts clinical and research outcomes by National Institute of Standards and Technology (NIST) has provided BioTeam, Inc. leveraging multi-cloud and on premises solutions. a Cybersecurity framework for general purposes. In the paper we will Karl Gutwin, PhD, Senior Scientific Consultant, BioTeam, Inc. research some of the underlying layers of Cybersecurity that pertain Adam Kraut, Director of Infrastructure and Cloud Architecture, 5:30 Best of Show Awards Reception in the Exhibit to Healthcare. This research hopes to provide a concise framework BioTeam, Inc. Hall with Poster Viewing for healthcare providers to use as a guideline for incorporating their Since 2010, the “Trends in the Trenches” presentation, given own cybersecurity and to help in engaging cybersecurity third-party by Chris Dagdigian, has been one of the most popular annual companies for assistance. The five layers of the NIST framework, traditions on the Bio-IT Program. The intent of the talk was to 7:00 – 10:00 Bio-IT World After Hours @Lawn on D Identify, Protect, Detect, Respond and Recover, leave healthcare deliver a candid (and occasionally blunt) assessment of the best, Sponsored by organizations with a large amount of inhouse examinations in order the worthwhile, and the most overhyped information technologies Co-hosted by to protect the data of the organization. While the organization must M (IT) for life sciences. The presentation tried to recap the prior year be diligent in the protection of the data, use of outside resources is a by discussing what has changed (or not) around infrastructure, must in providing the utmost due diligence for the protection of the storage, computing, and networks. This presentation has helped patient data, financial/insurance data of the patient and the entity as a scientists, leadership, and IT professionals understand the basic THURSDAY, MAY 17 whole. This document will attempt to build and expound on the NIST topics involved in supporting data intensive science. In 2017, the framework to provide additional guidance to healthcare providers. “Trends in the Trenches” presentation evolved and expanded from 7:30 am Registration Open and Morning Coffee Sponsored by 60 minutes to 120 minutes and featured more content, speakers, 11:40 A Modern Approach to Data Storage and interactive discussion. We will continue this format for 2018, for Next Generation Sequencing & 8:00 PLENARY KEYNOTE SESSION featuring short, focused podium talks on current trends related to Medical Imaging computing, storage/data transfer, networks, cloud and managing & AWARDS PROGRAM Steve Noel, Principal Systems Engineer, Qumulo successful IT projects. An interactive Q&A moderated discussion Please see page 5 for details. File storage is a critical component of the life sciences research with the audience follows. Come prepared with your questions and workflow. For researchers to be able to do their work, their storage commentary for this informative and lively session. 9:45 Coffee Break in the Exhibit Hall and Poster must be able to scale to and handle billions of files efficiently. They Competition Winners Announced must also be able to access their research data from anywhere in the world. Learn how universal-scale file storage allows research 4:00 Conference Adjourns DESIGNING SECURE DATA NETWORKING organizations to manage massive, globally distributed file sets with ease. 10:30 Chairperson’s Remarks 12:10 pm Session Break Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- Performance Integrated Virtual Environment (HIVE), FDA 12:20 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own 1:20 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing

45 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS TRACK 14 Data Transfer Achieving Speed, Security, and Scalability

Time and money spent transferring data are hampering the ability of data-intensive scientific researchers to share data and generate new knowledge. Whether migration to cloud or across campus, flexibility and reliability, as well as speed, security, and scalability, must be considered.Through case studies, Track 14 presents both hardware and software enterprise data management solutions that facilitate high-speed data transfer to enable productivity and foster collaboration.

Sponsored by TUESDAY, MAY 15 DATA MANAGEMENT: OVERCOMING LEGAL 12:15 Storage Systems that Support Tomorrow’s Life Science Applications Today 7:00 am Workshop Registration Open and Morning Coffee MATTERS AND OPERATIONAL BOTTLENECKS David Hiatt Director, Product Marketing, Marketing, 10:50 Chairperson’s Remarks WekaIO 8:00 – 11:30 Recommended Morning Pre-Conference 11:00 Business and Research Responses to the Changing Research has become increasingly compute intensive. While new Workshops* Legal Environment for Data Management tools and analytical processes such as AI and deep learning hold great promise, they stress the supporting IT infrastructure beyond W6. An Intro to Blockchain in Life Sciences John M. Conley, JD, PhD, William Rand Kenan, Jr. Professor of the expectations of system designers. Learn how today’s storage Law, University of North Carolina, Chapel Hill; Counsel, Robinson W7. Containerizing Applications and Workflows for systems leverage software to deliver the performance, scale, and Bradshaw & Hinson Large-Scale Reproducible Science cost efficiencies for applications. We are in the midst of major legal changes affecting data collection, 12:30 – 4:00 pm Recommended Afternoon storage, transfer, and use. This talk reviews U.S. and European 12:30 Session Break regulations that will take effect in early 2018 regarding the collection Pre-Conference Workshops* Sponsored by and transfer of health data as well as patient access to raw genomic 12:40 Luncheon Presentation I: W12. Bio-IT IOT Workshop: data. How should Bio-IT companies and institutions respond? Who Addressing the Big Data Challenges in Accurate Data for Good Decisions needs to worry and what should they do? Genomics and BioImaging * Separate registration required. Please see page 8 for details. Linda Zhou, Director, Research and Life Sciences Solutions, 11:30 A Reusable Cloud-Based Infrastructure for Growing Western Digital Biotechs 2:00 – 6:30 Main Conference Registration Open We will cover the Data challenges in both Genomics and John Keilty, General Manager, Platform Operations, Third Rock Ventures BioImaging, including data growth and scale, the need for both Karina Chmielewski, Senior Director, Platform Operations, Third collaboration and security, and the hybrid cloud processing 4:00 PLENARY KEYNOTE SESSION Rock Ventures requirements. We will describe best practices for cloud scale Please see page 5 for details. Managing disparate sources of data has become a prevalent storage solutions to address these challenges issue in the industry. The companies hit the hardest are the small, Sponsored by 5:00 – 7:00 Welcome Reception in the Exhibit Hall with growing biotechs who attempt to rapidly scale innovative science 1:10 Luncheon Co-Presentation II: Data Poster Viewing but lack the formal infrastructure to get past these logistical Storage Benchmark Results for NGS and hurdles. This presentation will address these issues and provide CryoEM Research a case study on how Third Rock Ventures, a veritable expert on David Sallak, Vice President, Industry Solutions, Panasas, Inc. WEDNESDAY, MAY 16 launching biotech startups, is addressing this common problem. Adam Marko, Senior Scientific Consultant, BioTeam, Inc. 7:00 am Registration Open and Morning Coffee 12:00 pm Internet2: Leveraging Distributed Sponsored by Panasas and BioTeam will share benchmark results impacting Resources to Speed Discovery NGS and CryoEM research. The Benchmarks were performed at the BioTeam Convergence Lab. BWA indexing of the human 8:00 PLENARY KEYNOTE SESSION Dan Taylor, Director, Business Development, Network genome was performed for multiple simultaneous indexes and Please see page 5 for details. Services, Internet2 varying numbers of CPUs. The RELION application was used to Few Life Sciences organizations take advantage of the vast perform a 3D classification of a publicly available CryoEM dataset 9:45 Coffee Break in the Exhibit Hall with Poster Viewing resources available to R&D organizations for continuous of a human malaria parasite ribosome. innovation and keeping pace with big data. This session will discuss the infrastructure underlying collaborations that use 1:40 Session Break private, academic, and public resources – including commercial cloud and supercomputing centers storage and processing - to maximize options and speed discovery.

46 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA TRANSFER CONTINUED TRACK 14

ENHANCING NETWORKS CLOUD SECURITY DESIGNING SECURE DATA NETWORKING 1:50 Chairperson’s Remarks 4:00 Collaborative Simulation Development Accelerated by 10:30 Chairperson’s Remarks Eli Dart, Network Engineer, Science Engagement, Energy Sciences Cloud-Based Computing and Software as a Service Model Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- Network (ESnet), Lawrence Berkeley National Laboratory Howard J. Stamato, MS, Consultant; formerly Associate Director, Performance Integrated Virtual Environment (HIVE), FDA Drug Product Science and Technology, Bristol-Myers Squibb 10:40 Healthcare Data Exchange Framework: Scalable 1:55 A Reliable and High-Speed Internet Lane Protocol Collaborative development of simulations can be enabled by Nirmala Shenoy, PhD, Professor, Information Sciences and cloud-based computing capability and flexible access to software. Economy of Secure Information and Services Technologies, Rochester Institute of Technology Faster development and consumption of models is expected from Vahan Simonyan, PhD, Lead Scientist & R&D Director, High- A Reliable and High-Speed Internet Lane (RHSL) protocol having a system in which to share the right information in the right Performance Integrated Virtual Environment (HIVE), FDA was developed based on a novel technique that leverages the context. A system like this has been proposed for a consortium of This project demonstrates a unique framework that enables digital structures and connectivity existing between definable network pharmaceutical companies and is expected to bring advantages transformation of healthcare at a scale that was not possible modules. RHSL was demonstrated over the US GENI testbeds and further efficiencies to delivering medicines for patients. before. Healthcare Data Exchange Framework has a potential to for emergency applications. RHSL operations are transparent liberate data, empower patient ownership of data and create a free and independent to the Internet protocol (IP) operations. RHSL 4:30 Presentation to be Announced market where data assetization and securitization might serve as bypasses IP and its routing protocols. incentives for data sharing. 5:00 Overcoming the Challenges of Sharing Sponsored by 2:15 Architecture, Tools, and Platforms - Designing for and Migrating Large Data Sets in Healthcare 11:10 Healthcare Security Framework High-Performance Data Transfer and Life Sciences Jim McGinnis, PhD, Assistant Professor, Engineering Technology, Eli Dart, Network Engineer, Science Engagement, Energy Sciences David Mostardi Senior Engineer, IBM Aspera The University of Memphis Network (ESnet), Lawrence Berkeley National Laboratory Healthcare & research are experiencing unprecedented growth in Healthcare is in a vulnerable position for infiltration or hacking of At-scale data transfer in high-performance environments is data. Legacy file sharing & cloud migration tools rely on technology data. Sensitive patient data, financial data of the entity and insurance a challenging capability to deploy. This talk discusses the that can’t handle such size and volume. Learn through real-world information are just some of the data that needs to be protected. The relationship between architectural frameworks, specific data use cases how IBM Aspera accelerates R&D cycles, speeds National Institute of Standards and Technology (NIST) has provided transfer tools, and data transfer platforms, with a focus on the data workflows, and impacts clinical and research outcomes by a Cybersecurity framework for general purposes. In the paper we will implications of design and deployment decisions for usability, leveraging multi-cloud and on premises solutions. research some of the underlying layers of Cybersecurity that pertain security, and performance. to Healthcare. This research hopes to provide a concise framework for healthcare providers to use as a guideline for incorporating their 2:35 Lab Instrument Data Transfers and File Systems for 5:30 Best of Show Awards Reception in the Exhibit own cybersecurity and to help in engaging cybersecurity third-party Processing in the Cloud Hall with Poster Viewing companies for assistance. The five layers of the NIST framework, Lance Smith, Associate Director, IT, Celgene Identify, Protect, Detect, Respond and Recover, leave healthcare organizations with a large amount of inhouse examinations in order Integrate hundreds or even thousands of older lab systems with cloud- to protect the data of the organization. While the organization must based data processing systems without modifying existing systems 7:00 – 10:00 Bio-IT World After Hours @Lawn on D be diligent in the protection of the data, use of outside resources is a or lab processes using new cost-effective tools from AWS. This talk Sponsored by Co-hosted by must in providing the utmost due diligence for the protection of the discusses methods of transfer and cloud-native file systems available M patient data, financial/insurance data of the patient and the entity as a for laboratory use with existing software solutions. whole. This document will attempt to build and expound on the NIST 2:55 Quantum Cryptography framework to provide additional guidance to healthcare providers. Alicia Sit, Research Scientist, Structured Quantum Optics Group, THURSDAY, MAY 17 11:40 A Modern Approach to Data Storage Sponsored by Advanced Research Complex, University of Ottawa for Next Generation Sequencing & Quantum Cryptography is on the verge of real-world applications, 7:30 am Registration Open and Morning Coffee where perfectly secure information can be distributed among Medical Imaging multiple parties. Several quantum cryptographic protocols have Steve Noel, Principal Systems Engineer, Qumulo been theoretically proposed and independently realized in different 8:00 PLENARY KEYNOTE SESSION File storage is a critical component of the life sciences research experimental conditions. In my talk, I present the recent progress, & AWARDS PROGRAM workflow. For researchers to be able to do their work, their storage challenges and development in performing high-dimensional Please see page 5 for details. must be able to scale to and handle billions of files efficiently. They quantum cryptography via quantum key distribution, quantum must also be able to access their research data from anywhere in hacking as well as our recent achievements in simulating quantum the world. Learn how universal-scale file storage allows research computations with structure photons. 9:45 Coffee Break in the Exhibit Hall and Poster organizations to manage massive, globally distributed file sets Competition Winners Announced with ease. 3:25 Refreshment Break in the Exhibit Hall with Poster Viewing 12:10 pm Session Break

47 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS DATA TRANSFER CONTINUED TRACK 14

12:20 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own 1:20 Dessert Refreshment Break in the Exhibit Hall with Poster Viewing FEATURED SESSION: BIOTEAM TOWN HALL 1:55 Sponsor Introduction Sponsored by Scott Jeschonek, Director, Cloud Services, Avere Systems

2:05 – 4:00 PANEL SESSION: BioTeam Town Hall: 2018 Bio-IT Trends Chris Dwan, Senior Technologist and Independent Life Sciences Consultant (Moderator) Ari Berman, PhD, Vice President and General Manager of Consulting Services, BioTeam, Inc. Tanya Cashorali, Founder, TCB Analytics Kristen Cleveland, PMP, Director of Operations, BioTeam, Inc. Chris Dagdigian, Co-Founder and Senior Director, Infrastructure, BioTeam, Inc. Karl Gutwin, PhD, Senior Scientific Consultant, BioTeam, Inc. Adam Kraut, Director of Infrastructure and Cloud Architecture, BioTeam, Inc. Since 2010, the “Trends in the Trenches” presentation, given by Chris Dagdigian, has been one of the most popular annual traditions on the Bio-IT Program. The intent of the talk was to deliver a candid (and occasionally blunt) assessment of the best, the worthwhile, and the most overhyped information technologies (IT) for life sciences. The presentation tried to recap the prior year by discussing what has changed (or not) around infrastructure, storage, computing, and networks. This presentation has helped scientists, leadership, and IT professionals understand the basic topics involved in supporting data intensive science. In 2017, the “Trends in the Trenches” presentation evolved and expanded from 60 minutes to 120 minutes and featured more content, speakers, and interactive discussion. We will continue this format for 2018, featuring short, focused podium talks on current trends related to computing, storage/data transfer, networks, cloud and managing successful IT projects. An interactive Q&A moderated discussion with the audience follows. Come prepared with your questions and commentary for this informative and lively session.

4:00 Conference Adjourns

48 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS Machine Learning TRACK 16 Personalizing Treatments and Cures

The role of computer science in modeling cells, analyzing and mapping data networks, and incorporating clinical and pathological data to determine how diseases arise from mutations is becoming more important in genomic medicine. We need to understand where the disease starts and how artificial intelligence delivers genes and pathways for drug targets and diagnostics. Track 16 explores case studies that apply deep learning, machine learning, and artificial intelligence to medicine. We will discuss data curation techniques, text mining approaches, and statistical analytics that utilize deep machine learning to support AI efforts. This will help to integrate omics approaches to discover disease or drug response pathways and identify personalized and focused treatments and cures.

TUESDAY, MAY 15 11:00 KEYNOTE PRESENTATION: Can AI Beat Cancer? DATA MANAGEMENT AND ANALYTICS: ENABLING Jay (Marty) Tenenbaum, PhD, Founder and Chairman, Cancer DATA SCIENCE AND MACHINE LEARNING 7:00 am Workshop Registration Open and Morning Coffee Commons AI can beat go and drive cars, but can it beat cancer? Every year, 1:50 Chairperson’s Remarks 8:00 – 11:30 Recommended Morning Pre-Conference many thousands of cancer patients die unnecessarily because Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, Workshops* their doctors do not know the optimal way to treat them with H2O.ai currently available therapies. Physicians and patients alike W3. D2K, Transforming Data to Knowledge with Cloud, 1:55 On the Journey towards a New Assay Data Analysis struggle with information overload and conflicting expert opinions IoT & Machine learning (AI) – Part I in making treatment decisions. Moreover, effective treatments Landscape increasingly involve intelligently designed, individually tailored, Joerg Degen, PhD, Project Leader Research Informatics, Roche 12:30 – 4:00 pm Recommended Afternoon sequences and combinations, and there are far more plausible Over the past two years we have fundamentally modernized Pre-Conference Workshops* multi-drug regimens than can be efficiently tested in clinical trials. our landscape for assay data analysis in order to strengthen AI can help by connecting physicians and patients to the right the ability of our scientists to access and interpret all relevant W9. D2K, Transforming Data to Knowledge with Cloud, data more efficiently, and to collaborate more effectively. In this IoT & Machine learning (AI) – Part II information at the right time, and by planning and coordinating the thousands of formal and informal treatment experiments that context, we have refactored some of our foundational systems * Separate registration required. Please see page 8 for details. take place daily in oncology, to optimize individual outcomes and and significantly increased our capabilities in the areas of data maximize collective knowledge. We will describe a developing analysis and application of predictive models. 2:00 – 6:30 Main Conference Registration Open global collaboration to realize this bold vision, involving leading oncologists, cancer and data scientists, and AI experts from 2:25 AI and Health: A Data and Process Approach both academia and industry, and discuss opportunities for all to Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, 4:00 PLENARY KEYNOTE SESSION participate. H2O.ai Please see page 5 for details. There has been a lot of hype recently regarding AI in Health and Sponsored by 12:00 pm Empowering Medical Practitioners Life Sciences. Sanjay will present an introduction to a use-case 5:00 – 7:00 Welcome Reception in the Exhibit Hall with to Train Models for AI based approach -- he will cover the broad categories of financial, Poster Viewing Srinivas Chitiveli, Offering Manager - PowerAI Vision, operational and clinical use-cases. The learning objectives are IBM Systems IBM practical, business-oriented Machine Learning and Deep Learning WEDNESDAY, MAY 16 Medical practitioners are adopting AI embedded applications that with specific focus on the data and processes involved. Summary diagnose diseases to ensure quick, accurate treatments for their results from two specific clinical use-cases will be presented. 7:00 am Registration Open and Morning Coffee patients. Current practices of developing AI applications can be Sponsored by complex and resource intensive. IBM PowerAI Vision, empowers 2:55 Project Asaka, Harnessing Underutilized Computing Resources for Deep Learning 8:00 PLENARY KEYNOTE SESSION Radiologists to label datasets, train and even deploy models to analyze images and videos helping pinpoint anomalies. Attend Jack Harwood, Distinguished Engineer Office, CTO, Please see page 5 for details. this session to see IBM PowerAI Vision firsthand. Dell EMC Maximizing application performance through GPUs and FPGAs 9:45 Coffee Break in the Exhibit Hall with Poster Viewing 12:30 Session Break (aka ‘accelerators’) is not new for genomics workflows. Recent advances in machine and deep learning methods leverage the MACHINE LEARNING AND ARTIFICIAL 12:40 Luncheon Presentation (Sponsorship Opportunity accelerators to operate on larger data sets in an ever shrinking INTELLIGENCE IN CANCER INFORMATICS Available) or Enjoy Lunch on Your Own time span. 10:50 Chairperson’s Remarks 1:40 Session Break Ted Slater, Global Head, Scientific AI & Analytics, Cray Inc.

49 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS MACHINE LEARNING CONTINUED TRACK 16

3:10 A Modern Approach to Data Storage for Sponsored by 5:00 Towards Tailor-Made Drugs Sponsored by THURSDAY, MAY 17 Next Generation Sequencing & Medical Imaging with AI-Driven Drug Design Peter Godman, Co-founder & CTO, Qumulo Ton van Daelen, PhD, BIOVIA 7:30 am Registration Open and Morning Coffee File storage is a critical component of the life sciences research Enabling pharma, biotech, and agrichemical businesses to more workflow. For researchers to be able to do their work, their storage efficiently produce safe, efficacious medicines and agents is key 8:00 PLENARY KEYNOTE SESSION must be able to scale to and handle billions of files efficiently. They to improving productivity and competitiveness. Recent advances & AWARDS PROGRAM must also be able to access their research data from anywhere in in machine learning methods and artificial intelligence (AI) have Please see page 5 for details. the world. Learn how universal-scale file storage allows research shown great promise in bringing true automation to this process organizations to manage massive, globally distributed file sets and the potential for these tools to finally become mainstream. with ease. By leveraging both existing in-house and publicly available assay 9:45 Coffee Break in the Exhibit Hall and Poster data, predictive models can be trained and then applied to rapidly Competition Winners Announced 3:25 Refreshment Break in the Exhibit Hall with Poster design small molecule or biologics therapeutic starting points in Viewing silico against desired target, anti-target, safety and toxicity profiles MACHINE LEARNING AND BIG DATA ANALYTICS IN in parallel. Once optimized, these in silico molecules are passed PERSONALIZED MEDICINE MACHINE LEARNING AND DATA VISUALIZATION to the lab to be created and tested. Results from each “Virtual- to-Lab” cycle are then used to assess and retrain the predictive 10:30 Chairperson’s Remarks 4:00 Chairperson models ahead of the next design round. By tightly coupling the Piyush Bansal, Senior Industry Analyst, Transformational Health, Sanjay Joshi, Chief of Technology, Healthcare and Life Sciences, design cycle with predictive models, which are in turn, tightly Frost & Sullivan H2O.ai coupled to available assay results, research organizations can 10:40 Machine Learning Approaches Applied to 4:00 Enhancing Precision Wellness with Knowledge efficiently leverage all available data far more effectively than is currently possible. In turn, this helps research organization Biomedical Data for Patient Stratification and Decision Graphs and Semantic Analytics discover drugs and chemicals not only faster, but with a much Support James Hendler, PhD, Tetherless World Chair of Computer, Web increased chance of meeting regulatory, business, and market Kimberly Robasky, PhD, Senior Translational Scientist, Renaissance and Cognitive Sciences; Director, RPI-IBM Center for Health requirements for a new product. Computing Institute, University of North Carolina at Chapel Hill Empowerment by Analytics, Learning and Semantics, Institute for Sponsored by As part of the NIH-funded Biomedical Data Translator project, we Data Exploration and Applications, Rensselaer Polytechnic Institute 5:15 Architecting for Success with Machine are integrating multiple, previously disparate datasets, which is Today’s patients, clinicians and researchers have gone from a Learning Data Platforms empowering investigators with new tools for data-driving patient world of too little data to one of too much. Discovering relevant Kurt Kuckein, Director, Marketing, DDN Storage subtyping. Here we will present the results from supervised and information, integrating it from multiple sources, deciding what to Machine learning is being applied to many aspects of precision unsupervised machine learning models trained to real world believe, and exploring alternative treatments are all challenges that medicine. Organizations with a vision for the future will realize how evidence (RWE) from asthma phenotypes curated in the Carolina go beyond many of today’s medical support systems. In this talk, the data at the heart of their ML initiatives will require extensive Data Warehouse (CDW-H), combined with publicly available we explore how AI and machine learning can be used by healthcare scaling. This presentation reviews key considerations for creating exposome data (e.g., PM2.5, ozone). providers and consumers to better understand and overcome and developing ML data platforms to ensure deeper insights, a health challenges. shorter path to value, and capability for effortless scaling. 11:10 Respect Individual Differences – Analytical Innovation in Personalized Medicine via Big Data 4:30 Drug Discovery at Scale: Interpreting Biology with Ray Liu, PhD, Senior Director & Head, Statistical Innovation & High-Dimensional Data 5:30 Best of Show Awards Reception in the Exhibit Consultation, Takeda Peter McLean, PhD, Data Scientist & Computational Biologist, Hall with Poster Viewing Patients are not a single, homogenous group. Instead, patients Recursion Pharmaceuticals are heterogeneous and respond differently even to the same Recursion Pharmaceuticals leverages image-based cellular 7:00 – 10:00 Bio-IT World After Hours @Lawn on D drug treatment. Big data has the potential to fulfill the promise phenotyping for drug discovery by using computer vision and of personalized medicine. This presentation will focus on recent machine learning to turn biological questions into tractable data- Sponsored by Co-hosted by analytical innovation using big data to match the right patient to science questions. Translating data science-derived conclusions M the right drug at the right dose at the right time. back into a biological or business framework introduces its own challenges. Here, I will introduce some of Recursion’s approaches for addressing the challenges around distilling computational models of high-dimensional cellular morphology - across hundreds of disease and treated states - into interpretable, actionable data.

50 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS MACHINE LEARNING CONTINUED TRACK 16

11:40 Machine Learning: An Essential Tool for Building Digital Biomarkers 3:00 PANEL DISCUSSION: Can We Improve Breast Cancer Shyamal Patel, Senior Manager, Digital Medicine, Pfizer, Inc. Patient Outcomes through Artificial Intelligence? We live in an ecosystem of connected devices (e.g. wearables, Maya Said, ScD, President & CEO, Outcomes4me, Inc. (Moderator) smartphones and IoT systems). Sensors embedded in these Panelists: devices, which we interact with on a daily basis, capture rich real- Regina Barzilay, PhD, MacArthur Fellow and Delta Electronics world information about our health and well-being. In this talk, I will Professor, Massachusetts Institute of Technology (MIT) Department use case studies to illustrate how machine learning can be used as of Electrical Engineering and Computer Science; Member, Computer a powerful tool for tapping into these data streams to develop and Science and Artificial Intelligence Laboratory, MIT deploy digital biomarkers at scale. Kevin Hughes, MD, Co-Director, Avon Breast Evaluation Program, 12:10 pm Session Break Massachusetts General Hospital; Associate Professor of Surgery, Harvard Medical School; Medical Director, Bermuda Cancer Genetics 12:20 Luncheon Presentation (Sponsorship Opportunity Risk Assessment Clinic Available) or Enjoy Lunch on Your Own Osama Rahma, MD, Assistant Professor of Medicine, Center For Immuno-Oncology, Dana-Farber Cancer Institute 1:20 Dessert Refreshment Break in the Exhibit Hall with Newly diagnosed cancer patients attempting to understand Poster Viewing their treatment options face the overwhelming task of filtering an information deluge, much of which is irrelevant, outdated and DATA MINING FOR DISEASE CLASSIFICATION occasionally inaccurate. Additionally, matching their diagnosis to best- 1:55 Chairperson’s Remarks in-class treatments or potential clinical trials, while simultaneously learning to navigate an extremely complex healthcare system John Methot, Director, Health Informatics Architecture, Dana-Farber is daunting, even for the most highly trained physicians. We will Cancer Institute explore various platforms aimed at improving patient outcomes by 2:00 Disease Classification in the Era of Data-Intensive leveraging technology to help educate, track, and connect patients Medicine with personalized resources while simultaneously working to improve the care continuum and the development of new treatments. We Kanix Wang, PhD, Research Professional, Booth School of Business, will explore the nexus of healthcare networks and their IT systems, Institute for Genomics & Systems Biology, University of Chicago clinical decision-making and delivery, R&D, and patients, for whom We used insurance claims for over one-third of the U.S. population we all create our innovation solutions. Attendees will be interested to to create a subset of 128,989 families (481,657 unique individuals). understand how various groups are working to increase value across Using these data, we estimated the heritability and familial the entire system by bringing laboratory, clinical and pharmaceutical environmental patterns of 149 diseases. We then computed the science, real-world evidence and patient-reported data together with environmental and genetic disease classifications for a set of technology and artificial intelligence to solve health challenges. These 29 complex diseases after inferring their pairwise genetic and approaches offer the opportunity to generate deeper insights into how environmental correlations. therapies perform in the real world and harness that understanding to improve efficiency, effectiveness, value, and ultimately, patient care. 2:30 Enviro-Geno-Pheno State Approach and State-Based Biomarkers for Differentiation, Prognosis, Subtypes, and Staging 4:00 Conference Adjourns Lei Xu, PhD, Director, Centre for Cognitive Machines and Computational Health; Zhiyuan Chair Professor, Department of Computer Science and Engineering, Shanghai Jiao Tong University In the joint space of geno-measures, pheno-measures, and enviro-measures, one point represents a bio-system behavior and a subset of points that locate adjacently and share a common system status represents a ‘state.’ The system is characterized by such states learned from samples. This enviro-geno-pheno state is considered a biomarker, indicating ‘health/normal’ versus ‘risk/abnormal’ together with its associated enviro-geno-pheno condition.

51 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS MAY 14-15, 2018

Making Data FAIR: Findable, Accessible, Interoperable and Reusable

GAIN FURTHER EXPOSURE: 2ND Bio-IT World invites innovative data scientists ANNUAL and developers from across the industry to solve real-world data challenges using the principles of Present a Poster & FAIR: Findable, Accessible, Interoperable and Reusable Data.

In 2017, Bio-IT World’s first hackathon delivered a new level of SAVE $50 collaboration to the annual Bio-IT World Conference & Expo in Boston. 6 Reasons Why You Should Present Your Facilitated in partnership with FAIR Data pioneers from Dutch Techcentre Research Poster at Bio-IT World for Life Sciences, Ontoforce, and the National Center for Biotechnology Conference & Expo: Information (NCBI), the hackathon resulted in three notable FAIR Data projects. The Second Annual Bio-IT World FAIR Data Hackathon will once 1 Available to 3,400+ global attendees again unite life science and IT teams to tackle actual genomic datasets 2  Will be seen by leaders from top pharmaceutical, biotech, with maximum impact potential. academic, government institutes, and technology vendors 3  Automatically entered in the Poster Competition, where two winners will each receive an American Express Gift Card TO GET INVOLVED, visit Bio-ITWorldExpo.com/fair-data-hackathon 4  Receive $50 off your registration fee 5  Displayed in the Exhibit Hall – the central meeting place of the event – for maximum exposure 6  Dedicated poster hours Follow the Bio-IT FAIR Data Hackathon at #BioITDatathon

Please visit Bio-ITWorldExpo.com for poster instructions and deadlines.

52 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS NETWORKING AT BIO-IT WORLD

Beyond the sessions, Bio-IT World celebrates industry achievements and collaboration by bringing the community together for after-hours networking and entertainment.

TUESDAY, MAY 15 | 5:00-7:00 pm WEDNESDAY, MAY 16 | 5:30-6:30 pm 2018 Welcome Reception Best of Show Awards Reception

WEDNESDAY, MAY 16 | 7:00-10:00 pm Bio-IT World After Hours @Lawn on D

JOIN US FOR AN EVENING OF GAMES, FOOD & MUSIC WITH YOUR FELLOW BIO-IT WORLD ATTENDEES

This fun event will be hosted at Boston’s Lawn on D, located steps away from the Seaport Co-Hosted by World Trade Center. The Lawn on D is Boston’s most innovative and dynamic outdoor event space and a must visit attraction when in Boston. Dubbed the Adult Playground, it has Sponsored by various outdoor lawn games and the famous swing art installation. Our own Bio-IT World house band will play your favorite songs and M delicious food and cocktails will be served.

FOR MORE INFORMATION ON COMPANIES A-K COMPANIES L-Z SPONSORSHIP, PLEASE CONTACT: Katelin Fitzgerald | Sr. Business Development Manager Patty Rose | Sr. Business Development Manager 781-972-5458 | [email protected] 781-972-1349 | [email protected]

53 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS SPONSORSHIP & EXHIBIT Comprehensive sponsorship packages allow you to achieve your OPPORTUNITIES objectives before, during, and long after the event. Signing on earlier will allow you to maximize exposure to hard-to-reach decision-makers.

Podium Presentations - Available within the Main Agenda! Exhibit Showcase your solutions to a guaranteed, targeted audience Exhibitors will enjoy facilitated networking through a 15- or 30-minute presentation during a specific opportunities with 3,400+ qualified delegates, conference program, breakfast, lunch, or separate from the making it the perfect platform to launch a main agenda within a pre-conference workshop. Package new product, collect feedback, and generate includes exhibit space, on-site branding, and access to co- new leads. Exhibit space sells out quickly, so operative marketing efforts by CHI. For the luncheon option, reserve yours today. lunches are delivered to attendees who are already seated in the main session room. Presentations will sell out quickly, so Additional Branding & Promotional sign on early to secure your talk! Opportunities Include: One-on-One Meetings • Hotel Room Keys - SOLD! • Footprint Trails Select your top prospects from the pre-conference registra- • Staircase Ads - SOLD! tion list. CHI will reach out to your prospects and arrange the • Conference Tote Bags - SOLD! meeting for you. A minimum number of meetings will be guar- • Badge Lanyards - SOLD! anteed, depending on your marketing objectives and needs. A • Booth Crawl very limited number of these packages will be sold. • Conference or Track Notebooks Invitation-Only VIP Dinner/Hospitality Suite • Cell Phone Charging Station • Golf Simulator Sponsors will select their top prospects from the conference pre-registration list for an evening of networking at the hotel Looking for Additional Ways to Drive or at a choice local venue. CHI will extend invitations and Leads to Your Sales Team? deliver prospects, helping you to make the most out of this CHI’s Lead Generation Programs will help you invaluable opportunity. Evening will be customized according obtain more targeted, quality leads through- to sponsor’s objectives. (i.e.: Purely social, Focus group, Re- out the year. We will mine our database of ception style, Plated dinner with specific conversation focus) 800,000+ life science professionals to your specific needs. We guarantee a minimum of 100 leads per program! Opportunities include: • Webinars FOR MORE INFORMATION ON SPONSORSHIP, PLEASE CONTACT: • White Papers COMPANIES A-K COMPANIES L-Z VIEW CURRENT REGISTER • Market Surveys Katelin Fitzgerald Patty Rose EXHIBITOR LIST AS AN • Podcasts and More! Sr. Business Development Manager Sr. Business Development Manager & FLOOR PLAN EXHIBITOR 781-972-5458 | [email protected] 781-972-1349 | [email protected]

54 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS MEDIA PARTNERS HOTEL & TRAVEL OFFICIAL PUBLICATION Experience Boston SPONSORING ORGANIZATIONS As one of the most historic cities in the United States, Boston offers unforgettable adventure with exceptional food, sporting events, music venues, and beautiful parks. Beyond its deep history, Boston is home to numerous universities and colleges which continue to attract scholars, scientists, philosophers and writers who shape its evolving culture. Attend Bio-IT World Conference & Expo, located on Boston’s historic waterfront, to experience this modern, innovative city and its deep LEAD SPONSORING PUBLICATIONS roots. With so many fascinating sights and points of interest, the toughest choice CLINICAL will be which one to experience first! INFORMATICS Diagnostics World NEWS HOST HOTEL: Seaport Hotel CONFERENCE VENUE: (Located directly across the street) Seaport World Trade Center One Seaport Lane 200 Seaport Boulevard Boston, MA 02210 Boston, MA 02210 Phone: 1-877-SEAPORT (1-877-732-7678) SPONSORING PUBLICATIONS Reservations: Go to the travel page of Bio-ITWorldExpo.com Discounted Room Rate: $309 s/d Discounted Cut-off Date: April 11, 2018

Go to the travel page of Bio-ITWorldExpo.com for additional info WEB PARTNERS

55 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER TABLE OF CONTENTS How to Register: Bio-ITWorldExpo.com

MAY 15-17, 2018 | BOSTON, MA | SEAPORT WORLD TRADE CENTER [email protected] • P: 781.972.5400 or Toll-free in the U.S. 888.999.6288

Pricing and Registration Information Please use keycode 1820 F when registering! Complimentary news delivered to your inbox WORKSHOP PRICING Please refer to Workshop list on page 7. Academic, Government, News on the data deluge in petascale Commercial Hospital-affiliated Student* computing and the tools to deliver Poster Submission-Discount ($50 Off) individualized medicine. One Half-Day Workshop $599 $299 $149 Poster abstracts are due by March 30, Bio-ITWorld.com Two Half-Day Workshops $899 $499 $249 2018. Once your registration has been fully processed, we will send an email containing a MAIN CONFERENCE PRICING (excludes workshops) unique link allowing you to submit your poster Insights on the innovation between Registrations after March 30, 2018 and on-site $2,149 $999 $329 abstract. If you do not receive your link within clinical trial management and delivery of 5 business days, please contact care. ClinicalInformaticsNews.com CONFERENCE TRACKS [email protected].

* CHI reserves the right to publish your poster title and Emerging Technologies in Diagnostics TRACK 1: Data & Storage Management TRACK 9: Data Visualization & Exploration Tools abstract in various marketing materials and products. DiagnosticsWorldNews.com TRACK 2: Data Computing TRACK 10: Pharmaceutical R&D Informatics REGISTER 3 - 4th IS FREE: TRACK 3: FAIR Data for Genomic Applications TRACK 11: Clinical Genomics Individuals must register for the same TRACK 4: Software Applications & Services TRACK 12: Cancer Informatics conference or conference combination and submit completed registration form together Reports designed to keep life science TRACK 5: Cloud Computing TRACK 13: Data Security for discount to apply. Additional discounts are professionals informed of the salient trends in pharma technology, business, TRACK 6: Bioinformatics TRACK 14: Data Transfer available for multiple attendees from the same clinical development, and therapeutic organization. For more information on group disease markets TRACK 7: Next-Gen Sequencing Informatics TRACK 15: Disease Surveillance & Modeling rates contact Uma Patel at 781 972 5447, InsightPharmaReports.com TRACK 8: Clinical Research & Translational Informatics TRACK 16: Machine Learning Contact Adriana Randall, [email protected] [email protected] / +1-781-972-5402

*Full time graduate students and PhD candidates qualify for the student rate. Students are encouraged to present a research poster and receive an Additional registration details additional $50 off their registration fee. Student rate cannot be combined with any other discount offers, except poster discount. Each registration includes all conference sessions, Students must present a valid/current student ID to qualify for the student rate. Limited to the first 100 students that apply. posters and exhibits, food functions, and access to the conference proceedings link. Handicapped Equal Access: In accordance with the Barnett is a recognized leader in clinical ADA, Cambridge Healthtech Institute is pleased to education, training, and reference guides arrange special accommodations for attendees with for life science professionals involved in special needs. All requests for such assistance must the drug development process. For more CONFERENCE DISCOUNTS be submitted in writing to CHI at least 30 days prior to information, visit BarnettInternational.com. Exclusive Offer to Attend Bridge to Pop Health East* the start of the meeting. Cambridge Healthtech Institute presents a series of informatics programs in Boston this spring with the goal of bridging the healthcare and To view our Substitutions/Cancellations Policy, go to life science worlds. Paid attendees of Bio-IT World Conference & Expo can attend the Bridge to Pop Health East (May 14-15) for a special healthtech.com/regdetails discounted rate (20% discount off the registration fee for the main conference). Video and or audio recording of any kind is prohibited To receive this exclusive 20% discount, mention keycode 1820BITXP when registering for Bridge to Pop Health East. onsite at all CHI events. A Division of Cambridge Innovation Institute Please note: Our records must indicate you are a paid attendee of Bio-IT World Conference & Expo 2018 to qualify. 250 First Avenue, Suite 300 * Discount applies to paid attendees of Bio-IT World Conference & Expo 2018 only. Applies to new registrations only and cannot be combined with other Needham, MA 02494 discount offers, except poster discount. Discount does not apply to workshops. Discount taken off lowest priced item(s). If you are unable to attend but would like to purchase the Bio-IT World Conference & Expo Healthtech.com 2018 conference CD for $750 (plus shipping), Fax: 781-972-5425 please visit Bio-ITWorldExpo.com. Massachusetts delivery will include sales tax. TABLE OF CONTENTS 56 | Bio-ITWorldExpo.com FINAL WEEKS TO REGISTER