FIFTH ANNUAL - LIFE SCIENCE R&D DATA INTELLIGENCE LEADERS FORUM Basel, Switzerland January 23-24th, 2018 Optional Workshop 22nd, January Hear keynote presentations from the experts: Etzard Stolte Global Head Knowledge Management Roche, Switzerland Abhimanyu Verma 5 EVENTS IN ONE: Head Real World Evidence and Big Data Solutions Novartis, Switzerland Day 1: Torsten Niederdraenk Head of Technology Center Strategic Developments in R&D Big Siemens Healthcare, Germany Data Catherine Brownstein Scientific Director Day 2 (am): Stream 1 Manton Center for Orphan Disease Research Boston Children’s Hospital, USA Discovery & Omics Data Excellence Navin Ramachandran Radiology Consultant Day 2 (am): Stream 2 University College London Hospitals NHS Foundation Trust, Healthcare specialist in distributed ledgers and IoT Clinical & Patient Level Data IOTA Foundation, UK Excellence Marie-Claire Peakman Executive Director, Head Hit Discovery & Lead Profiling, Medicine Design Day 2 (pm): Stream A Pfizer, USA R&D IT & Bioinformatics Alex Zhavoronkov Co-founder, Insilico Medicine, CSO Day 2 (pm): Stream B The Biogerontology Research Foundation, UK Ivana Schnur Digital Health Collaborations Co-founder, CMO Sense.ly, USA Pre-Event Workshop: Jan 22nd Paul Wicks Artificial Intelligence for Drug Vice President of Innovation PatientsLikeMe, UK Discovery: Workshop for Senior Jazz Panchoo Global Strategy Head, VP, Digital Platforms Executives Ascensia Diabetes Care, Switzerland This Event is Certified for Continuing Professional Development with more than 30 presentations from R&D Data Experts Speakers Overview: Expert Speakers: Life Sciences Industry Independent Thought Leaders Academic Research Institutes Etzard Stolte Istvan Enyedy Brian Kennedy Catherine Brownstein Global Head Knowledge Senior Scientist, Professor of Biochemistry and Scientific Director Management Computational Chemistry Director Centre for Healthy Manton Center for Orphan Roche, Switzerland Biogen, USA Ageing, Yong Loo Lin School of Disease Research Medicine, National University Boston Children’s Hospital, USA Abhimanyu Verma Francis Kendall Singapore Head Real World Evidence and Digital Strategy Leader Emanuele de Rinaldis Big Data Solutions Roche, USA Andrew Beal Head of Translational Novartis, Switzerland Director, Blockchain and Bioinformatics Hans Martens Distributed Infrastructure King’s College London - NIHR Panos Papakonstantinou Regional Privacy Manager Ernst & Young, USA Biomedical Research Centre, UK Head of Digital Commercial, Europe Europe GSK, Netherlands Navin Ramachandran Sven Nahnsen Novartis, Switzerland Radiology Consultant Head of the Quantitative Adam Yeung University College London Biology Center Torsten Niederdraenk Strategy & Business Hospitals NHS Foundation Trust, University Tübingen, Germany Head of Technology Center, Development Manager, Healthcare specialist in distributed Germany Bruno Silva Siemens Healthcare, Europe & EMA ledgers and IoT Switzerland Head of Design and Product BD, IOTA Foundation, UK Michael Rebhan Development Senior Investigator Global Strategy Jazz Panchoo, Isabelle Hilali Arnhold Institute for Global Novartis Institutes for Head, VP, Digital Platforms Managing Director Health, USA BioMedical Research, Ascensia Diabetes Care, Center for Research and Switzerland Switzerland Ian McNicoll Interdisciplinarity (CRI), and Co-chair Board member, Healthcare Data Edgar Jacoby Chris Shilling openEHR Foundation, UK Senior Principal Scientist Consultant, Innovation Vizier, Institute (HDI), France Molecular Informatics UK Pharma Diagnostics, David Wortley, President of Janssen, Belgium Marie-Claire Peakman European Chapter, International Alex Zhavoronkov Executive Director, Head Hit Society of Digital Medicine Co-founder, Insilico Medicine, Discovery & Lead Profiling, (ISDM), Founder, GAETSS, UK CSO, The Biogerontology Medicine Design Research Foundation, UK Pfizer, USA R&D HW/SW Developers Patient Platforms Sebastian Streit Zhenyu Xu Jon McLoone Paul Wicks Team Lead Global Solution Chief Technology Officer Director of Technical Vice President of Innovation, Center - Automation Sophia Genetics, Switzerland Communication and Strategy, PatientsLikeMe, UK Integration & Artworks Wolfram Research, UK Roche, Switzerland Stephen A. Brobst Ivana Schnur CTO Co-founder, CMO Teradata Corporation Sense.ly, USA Peter Grolimund Yury Rozenman, Director Sr. Life Science Industry Consultant, of Business Development, ThinkBig Analytics (a Teradata Qualcomm Life, USA company) Event Partners: Event Structure PRE-EVENT WORKSHOP DAY 1 DAY 2 (24th January) (am) DAY 2 (24th January) (pm) (22nd January) (23rd January) STREAM 1: STREAM A: DISCOVERY & OMICS R&D IT & DATA EXCELLENCE BIOINFORMATICS ARTIFICIAL STRATEGIC INTELLIGENCE FOR DEVELOPMENTS DRUG DISCOVERY: IN R&D BIG DATA WORKSHOP FOR STREAM 2: STREAM B: SENIOR EXECUTIVES CLINICAL & DIGITAL HEALTH PATIENT-LEVEL DATA COLLABORATIONS EXCELLENCE Who Will Benefit: Scientific Officers, Chief Information Officers, Chief Technology Officers, Knowledge & Data Management (Discovery, Clinical & Real-World Data), R&D Analytics, Informatics, R&D Innovation, External Alliances & Innovation, R&D Strategy. Also: VPs Directors & Senior Managers involved in: Stream 1: Drug Discovery, R&D, Lead Identification & Target Validation, Screening, Translational R&D, Genomics & Proteomics, Biomarker R&D, Senior Scientist, Biostatistics, Biometrics, Precision Medicine, Personalised Medicine, Computational Biology. Stream 2: Clinical Development, Clinical Data Management, e-Clinical, Electronic Data Management, Health Economics & Outcomes Research, Real-World Evidence Generation, Late-Phase Research, Epidemiology, Drug safety & Pharmacovigilance, Medical Information. Stream A: Information Technology & Services, R&D IT, IT Hardware & Infrastructure, Software, Database Management. Stream B: eHealth, mHealth, Connected Health, Digital Health Solutions, Strategic Medical Innovation, Business Development, Strategic Collaborations, Alliances, External Innovation, Patient Engagement Event Overview Achieving excellence with R&D data will enable the life sciences industry to increase the speed and quality of innovation and is thus a major source of competitive advantage. Whether researchers and informaticians deal with “big data,” “deep data” or just put their data to smarter use, it is clear that the future of R&D is dependent on both smart technologies and clever researchers. The rapid progress of innovation in software and powerful hardware now allows human researchers to interpret masses of amounts of raw data in unique ways and is redefining the R&D business model. The benefits range from discovery and “omics” research, through to clinical trials and to real patients in the real-world. However, it is major technical, financial and operational challenge to turn “messy” data into structured data, that can be used for advanced analytics that can spot opportunities and achieve true insights. Some of the most promising areas of technological innovation making rapid progress include, for example, artificial intelligence, machine learning, cloud computing and the blockchain (distributed ledgers). There is also huge potential for efficient collaborations between the life science industry, technology companies, academic researchers, health systems, physicians and health insurers. A deeper convergence between key stakeholders and advanced technologies will facilitate the discovery and development of powerful therapies, devices and advanced diagnostics to benefit patients. The “R&D Data Intelligence Leaders Forum” is the must attend event for those senior decision-makers, researchers and technologists, looking to make the shift towards an integrated R&D and data strategy and for those looking to improve their implementation of data- driven approaches to enhance R&D decision-making and intelligence. Day One – Strategic Developments in R&D Big Data Will feature several keynote presentations from thought leaders from both the R&D and technology perspectives on how data is redefining the R&D model and enabling R&D decision making and innovation. This strategic-level discussion from senior-level experts will look at what technologies and approaches are already creating an impact in R&D, but also what will be critical tomorrow. They will discuss what technological, financial, regulatory and operational challenges need to be overcome to ensure that key insights are achieved and R&D intelligence is dramatically enhanced to ensure patient benefit. Day 2 (am) - Stream 1: Discovery & Omics Data Excellence This stream will focus on how to plan and implement data driven approaches in the drug discovery process to unlock innovation. Huge volumes of raw data can be merged with other data sets, structured and analysed from a myriad of perspectives, to not just achieve answers to complex research questions, but to also develop new hypotheses themselves. Attendees will understand how a dedicated R&D data strategy for precision medicines and large “Omics” data volumes can achieve deep insights that enhance R&D decision making and innovation. Day 2 (am) - Stream 2: Clinical & Patient-Level Data Excellence This stream will feature best practice case studies of designing, collecting & managing large sets of clinical-stage and patient-level data from both clinical and informatics experts. Specific attention will be paid to taking advantage of electronic data capture (EDC) technologies, but also the potential of new techs such as the blockchain. This stream will also feature examples