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ON DEMAND VIDEO VIRT AL NETWORKING CONFERENCE 7TH DIGITAL PATHOLOGY & AI CONGRESS: USA UTILIZING AI & DIGITAL PATHOLOGY TO ADVANCE PATHOLOGY PRACTICE, ENABLE ENHANCED PATIENT CARE AND FURTHER DRUG DISCOVERY MAY 26-27 2021 Meeting Commences at 09:00 EDT (UTC-4)
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www.global-engage.com WARM WELCOME
Global Engage is pleased to welcome you to the 7th Digital Pathology & AI Congress: USA which will be held virtually on May 26-27 and will be run on Eastern time.
With over 20 expert led presentations, we hope that this meeting will be both informative and enjoyable for those seeking to learn more about the current landscape and future directions of Digital Pathology and AI. Alongside the diverse two day program are the various networking and knowledge sharing opportunities that we have made available, fully utilizing our virtual platform providers features.
• Virtual Booths. View the latest technologies and services available and have one to one or group video conversations in order to discuss your work, challenges and requirements • Speed Networking. During the networking sessions, the AI-enabled technology will connect you with other attendees. Like a live event, you will meet new people and establish new relationships • Live Q&A. Have your questions ready to put to the speakers at the end of their talks. • Poster Presentations. View the scientific posters and interact with the authors • Chat Rooms & Private messaging. Public and Private rooms will help you start those all-important side- conversations that are the hallmark of any good meeting. You can also create your own chat room to have conversations with up to 20 people. • Delegate Profile. Make yourself visible to other attendees, speakers and sponsors so that you can video/ text chat with them. • Connect. Use the connect button to build connections that will last long after the meeting.
We hope that over the next two days you learn something new, meet new contacts and further your plans for future research, whatever they may be. If you have any questions or need any information, please feel free to approach sponsors, speakers, other delegates and of course, the conference organisers, who will be happy to help using the chat functions available.
Kind regards,
Steve Hambrook Mike Burden Conference Director Director, Conference Production
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 EVENT SPONSORS
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7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 CONGRESS SCHEDULE DAY 1 WEDNESDAY MAY 26 2021
8:50-9:00 Global Engage Welcome Address KEYNOTE PRESENTATION: MICHAEL J. BECICH Chairman and Distinguished University Professor, Department of Biomedical Informatics, University of Pittsburgh Computational Pathology for Next-Gen Clinical Practice and Biomedical Discovery 8:45-9:25 With the FDA approval of whole slide imaging (WSI) and digital pathology workflows as part of “next-generation” Pathology practice there is a significant gap in workflow infrastructure for supporting translational research in cancer centers. Pathology Informatics is key to supporting deep interrogation of WSI and allowing for multi-dimensional studies combining multiplexed immunohistochemical marker studies of the tumor microenvironment with the rich genomic data provided by single cell genomic studies. Modern tissue banking protocols coupled with diagnostic workflows in surgical pathology of patient’s tumors samples are key to supporting both computational pathology and predictive analytics. We will discuss an approach that incorporates multiple sources of pathology data and clinically actionable knowledge to improve Pathology decision making via predictive analytics fueled by advanced machine learning and causal discovery applied to spatial analytics of WSI.
KEYNOTE PRESENTATION: RICHARD LEVENSON Professor and Vice Chair for Strategic Technology, UC Davis Slide-free tissue imaging for direct-to-digital (DTD) histopathology 9:25-10:00 Digital pathology requires prior performance of standard histology processing which is then followed by additional time, effort, and resource-consuming slide scanning. An approach that could go directly from thick (unsectioned) tissue specimens, either fresh or fixed, to high-quality digital histology while avoiding most intermediate steps would be an advance. Here we present FIBI, a technique with desirable speed, cost, and quality attributes. FIBI (fluorescence imitating brightfield imaging) acquires surface-weighted microanatomy from thick tissues that immediately resembles H&E-stains and can be processed with cGANs to mimic closely. Tissue preparation and 10X-scanning can be accomplished in about 3 minutes, depending on specimen size; higher mag is also possible. These digital images are then immediately accessible for local and remote viewing and for interpretation with automated analysis tools. DAVID WILBUR CSO, Corista
10:00-10:30 ERIC WIRCH CTO, Corista Roadmap and Justifications for Your Digital Transformation Migrating from a glass-based, analog lab to a digital lab needs justification, both from a utilitarian and financial point of view. Those benefits need to provide ‘over the top’ functionality beyond what can be done with glass. This session will review the some of the digital benefits that can be used to justify a migration to a digital pathology lab, as well as some of the considerations to ensure that your investment is flexible and scalable, from both an infrastructure and functional perspective.
10:30-11:00 Morning Break / Poster Presentations / Virtual Exhibition Time
AI for Image Analysis and Advancements in Imaging JIANYU RAO Professor and Vice Chair, Director of International Telepathology Program, 11:00-11:30 UCLA Pathology and Lab Medicine, UCLA Application of Digital Pathology in Practice - Our Experiences of International Telepathology Program • Discuss the basics of digital/telepathology • Introduce UCLA-International Telepathology Program • Share the experiences and what we have learned from our telepathology program
BERNARD TÊTU Professor Emeritus, Laval University, Québec, Canada Current status of Telepathology in the Quebec network and future direction. Extent the network to the whole province and going fully digital 11:30-12:00 The Eastern Quebec Telepathology Network was created in 2004 through public funding and the implementation started in 2011 with the objective of linking 24 sites. This decentralized network provides diagnostic telepathology services to a scattered population of 1,73 million people dispersed on a large territory. The major applications are intra-operative consultations, second opinion by experts, macroscopy supervision, urgent biopsies, immunohistochemical and FISH interpretation and teleautopsies. Recent published impact studies confirmed the benefits of the Network at providing intra-operative diagnostic services to hospital with no pathologist on site, avoiding patient transfers and two-step surgeries, reducing insecurity for both isolated pathologists and surgeons, and helping recruitment in remote hospitals. A current government funded project is underway to go to fully digital in all pathology laboratories of the province.
12:00-12:40 SPEED NETWORKING SESSION Please join us in the ‘networking area’ for this interactive session. Networking and collaboration is vital in the Microbiome and Probiotics communities. As this is a business collaboration forum we have designed this session for you to meet other attendees for a series of 3 minute speed networking video calls. If there is mutual interest – exchange virtual business cards, and arrange a more formal meeting after the session.
12:40-13:15 Lunch
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 CONGRESS SCHEDULE DAY 1 WEDNESDAY MAY 26 2021
DOUGLAS HARTMAN
13:15-13:45 Associate Professor of Pathology; Vice Chair for Pathology Informatics University of Pittsburgh Medical Center (UPMC) Real-World Returns from Using Digital Pathology • Defining Expectations for Returns Related to Digital Pathology • Describe Examples of Cost Savings Realized from Digital Pathology • Describe Examples of Expanded Pathology Services through Digital Pathology
LAURA BARISONI
13:45-14:15 Professor of Pathology and Medicine, Co-Director of the Division of AI & Computational Pathology, Duke University The digital nephropathology ecosystem During this presentation, we will discuss a) the application of the recent advancements in digital technology and computational engineering to nephropathology, in the setting of clinical research, trials, and practice; b) the overall benefits and challenges of the new digital ecosystem; c) digital nephropathology in kidney precision and predictive medicine.
J. MARK TUTHILL Division Head, Pathology Informatics, Henry Ford Health System 14:15-14:45 Pathology PACS and informatics and our digital pathology work flow integration • Present examples of operational systems used and digitally integrated at HFHS • Highlight common strategies the lead to success • Describe the integration of WSI • Recognize challenges and points of failure in digital workflow and WSI
14:45-15:30 Afternoon Break / Poster Presentations / Virtual Exhibition Time KEVIN W. ELICEIRI
15:30-16:00 RRF Walter H. Helmerich Professor, Medical Physics and Biomedical Engineering, Investigator, CQCI, LOCI, UW-Madison Computational Optics of the Tumor Microenvironment • Key components of the tumor microenvironment such as organization of the collagen rich extracellular matrix influence cancer cell invasion and progression • The combination of computation and advanced imaging can detect intrinsic image-based biomarkers in standard pathology slides • Deep learning approaches can be used to detect such biomarkers with the potential of being used in real time pathology analysis scenarios.
MARY EDGERTON Associate Professor, Department of Pathology, 16:00-16:30 Division of Pathology/Lab Medicine, MD Anderson Finding Synergies in Human-Computer Interactions with AI Integration • What is the current workflow in AP • Where would Digital Pathology and AI fit in • What should the final workflow look like to best produce human-computer synergy • Can we use improve knowledge base for our AI routines in the workflow
16:30 End of Day 1
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 DAY 1 BIOGRAPHIES
MICHAEL J. BECICH at Univ. of Rochester and faculty positions at Duke He received Physician of the Year award by Chairman and Distinguished University and Carnegie Mellon. He then joined Cambridge Wall Street Journal (2005), International Health Professor, Department of Biomedical Research & Instrumentation becoming VP of Professional and Scientist of the Year (2003, 2006), Informatics, University of Pittsburgh Research before assuming his present position Guangji Scholar by Zhejiang University (2011), at UC Davis. He helped develop multispectral and be nominated to Shaw prize in life science Michael J. Becich, MD PhD is Distinguished microscopy and small-animal imaging systems and and medicine (2010) and Tang prize (2018). His University Professor and inaugural Chairman of software, birefringence microscopy, multiplexed clinical expertise includes cytopathology, FNA, the Department of Biomedical Informatics at the ion-beam imaging (MIBI), and most recently, gynecological pathology, and genitourinary University of Pittsburgh School of Medicine. He slide-free as well as enhanced content microscopy. pathology. His research areas include cancer is jointly appointed in Pathology, Bioengineering, He is section editor for Archives of Pathology and biomarker studies, cancer screen and precancer Computing/Information and Clinical/Translational is on the editorial board of Lab. Invest. and AJP. field disease researches, molecular epidemiology, Research. He is Associate Director for Cancer Regrettably, he also taught pigeons histopathology liquid biopsy, digital and computational pathology, Informatics for the UPMC Hillman Cancer Center. and radiology. He is co-founder of MUSE with over 190 peer-reviewed research publications, Dr. Becich’s research interests are focused Microscopy, Inc. and a recipient of the UC Davis 18 books/book chapters, and speaking in over 190 on the interface between clinical informatics Chancellor’s Innovator of the Year and the Astellas meetings locally, nationally and internationally. His and bioinformatics with a particular focus on C3 award. accomplishments include established the first-ever translational research resources, particularly tissue international Telepathology program, uncovered banking informatics. His research is funded by DAVID WILBUR the role of cytoskeletal actin remodeling in cancer the CDC, NCATS, NLM, NSF, PCORI and Industry CSO, Corista progression, determined molecular mechanisms of Partners and focuses on clinical phenotyping of the anti-cancer effect of green tea, and pioneered patients for genomic/personalized medicine and Chief Medical Scientist and the work for developing cellular mechanobiological clinical informatics with a special emphasis on Pathologist, David C. Wilbur, MD, is leading the profiles as a biomarker for cancer. data sharing. Dr. Becich has been an innovator in medical efforts for Corista’s artificial intelligence digital imaging in Pathology since the 1990s. In studies. Dr. Wilbur is focused on the use of BERNARD TÊTU partnership with Joel Saltz in 1999, they combined technology to improve physician workflows, Professor Emeritus, Laval University, the first virtual microscope with content based productivity, and accuracy. Prior to his 2019 Québec, Canada image retrieval technology to share pathology retirement from clinical practice, Dr. Wilbur was images in what was to become one of the earliest the Director of Cytopathology and Clinical Imaging Dr. Têtu trained in anatomic pathology at Laval projects using whole slide images (http://www. at Massachusetts General Hospital in Boston. He University, Québec, Canada, and at the University of pathology.pitt.edu/hubs/profile.htm). In 1996, remains Professor of Pathology Emeritus at Harvard Bonn, Germany and completed a two-year fellowship in oncological pathology at the MD Anderson Dr. Becich launched the Pathology Informatics Medical School. A graduate of Johns Hopkins, Dr. Cancer Center, Houston Texas. He has been faculty Summit (formerly Advancing Pathology Informatics, Wilbur earned his medical degree at the University member at Laval University from 1986 to 2015 and Imaging and the Internet) which then led to of Rochester. He has authored over 150 scientific medical director of the Réseau de Télépathologie the founding of the Association for Pathology papers and is the co-editor of the 3rd and 4th de l’Est du Québec at Laval University since 2004. Informatics (API, http://www.pathologyinformatics. editions of the popular textbook Comprehensive He was director for clinical research at the Centre org) which he was inaugural President in 2000. Cytopathology. He has received numerous awards de Recherche du CHUQ from 2006 to 2011 and Dr. Becich has published extensively in digital for his work in pathology, including The College of head of the Division of Pathology from 1998 to pathology’s role in translational research and American Pathologists President’s Honors, Lifetime 2015. From 2008 to 2011, he was president of the currently supports the Pittsburgh Computational Achievement, and Distinguished Service awards. Advisory Committee in Pathology at the Ministry of Pathology Interest Group (http://www.csb.pitt. He is Past-President of the American Society of Health in Québec, Canada. Finally, he was clinical edu/comppath/) in partnership with Chakra Cytopathology and in 2010 received that society’s research scholar funded by a Canadian agency from Chennubhotla. In 2018, Drs. Chennubhotla, Lans highest honor – the Papanicolaou Award. 1992 to 1999. He authored or co-authored over 250 Taylor and Jeffrey Fine launched SpIntellx (http:// publications in peer-reviewed journals, mainly in the www.spintellx.com ) a startup company using ERIC WIRCH fields of genitourinary, gynecological pathology and spatial intelligence and explainable AI to inform CTO, Corista digital pathology. therapeutic strategies and clinical decision making for the practicing pathologist. Dr. Becich trained at Computational Pathology and Machine DOUGLAS HARTMAN Washington University, practiced as an Anatomic Learning promise to enhance the pathologist's tool Associate Professor of Pathology; Pathologist for over 30 years. He is also PI for set and provide safer, accurate and efficient handling Vice Chair for Pathology Informatics the National Mesothelioma Virtual Bank (NMVB, of cases. Either through leveraging 3rd party tools, University of Pittsburgh Medical http://www.mesotissue.org) and has deployed algorithms and packages or by creation of one's Center (UPMC) innovative and sustainable infrastructure to link this own algorithmic workflows using a department's biospecimen and clinical data (phenotype) network institutional knowledge; we will discuss how these Douglas J. Hartman is an Associate Professor of to three other national initiatives (PCORI Clinical tools can be leveraged in one's daily work, leveraging Pathology, the Director of the Division of Pathology Data Research Network – funded since 2014, locally-installed or cloud-based algorithmic engines, Informatics at the University of Pittsburgh Medical NCATS Accrual to Clinical Trials network – funded across a distributed organization. Center (UPMC) and a practicing gastrointestinal since 2014 and the new Precision Medicine Cohort pathologist. He is board certified in both AP/ funded since 2016). Dr. Becich and his team have JIANYU RAO CP and Clinical Informatics. His gastrointestinal been national leaders in tissue banking, honest Professor and Vice Chair, Director research area includes molecular and expression broker practices, HIPAA compliant de-identification of International Telepathology abnormalities unique to neoplasia that arises in of clinical data and the accompanying biomedical Program, UCLA Pathology and patients with inflammatory bowel disease as well informatics to enable translational research Lab Medicine, UCLA utilizing biospecimens which will be central to as inflammatory cell populations in this population. computational pathology’s future. Dr. Jianyu Rao is a tenured full professor at In addition, he has been implementing digital David Geffen School of Medicine, University pathology for primary signout and automated image RICHARD LEVENSON of California at Los Angeles. He serves as the analysis as well as for telepathology at UPMC. In Professor and Vice Chair for Strategic vice chair of diagnostic technology innovation September 2018, he introduced automated image Technology, UC Davis for the department of pathology and laboratory analysis to quantitate CD8 inflammatory cells within medicine, chief of cytopathology division, director oropharyngeal squamous cell carcinoma. He has Richard Levenson, MD, FCAP, is professor and of international telepathology, and medical participated in implementing two different digital vice chair for strategic technologies, Department director cytotechnology school. He is a fellow pathology solutions for routine anatomic pathology. of Pathology and Laboratory Medicine, UC Davis of College of American Pathologist, fellow of Dr. Hartman’s research in informatics focuses on Health. He received his MD at University of Academy of Translational Medicine, Member practical application of informatics. He has published Michigan and pathology training at Washington of Jonsson Comprehensive Cancer Center, and on informatics topics and given national and University, followed by a cancer research fellowship Member of California Nanosystem Institute. international talks based on his informatics work.
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 DAY 1 BIOGRAPHIES
LAURA BARISONI Engineering at the University of Wisconsin- J. MARK TUTHILL Professor of Pathology and Medicine, Madison. He is also an investigator in the Division Head, Pathology Informatics, Co-Director of the Division of AI Morgridge Institute for Research. He did all his Henry Ford Health System & Computational Pathology, Duke training at the University of Wisconsin-Madison University including a Masters in Biotechnology and a PhD in J. Mark Tuthill, MD, completed Biomedical Engineering. His collaborative research pathology residency and informatics fellowship Dr. Laura Barisoni is a Professor of Pathology and program has resulted in over 200 publications training at the University of Vermont College of Medicine at Duke University, where she serves as ranging from informatics and instrumentation to Medicine-Fletcher Allen Health Care, and created the Director of the Renal Pathology Service and live cell microscopy and cancer imaging papers. the department’s division of pathology informatics. co-Director of the Division of AI & Computational Current informatics projects include developing Dr. Tuthill is currently Division Head of Pathology Pathology. Over the last 20 years, she contributed software to annotate and archive microscopy data, Informatics at Henry Ford Health System in to science with numerous translational research the development of the ImageJ2 software platform Detroit. Areas of interest include digital pathology projects on human kidney biopsies and animal and Fiji distribution of ImageJ, and the development implementation, Internet applications for laboratory models of kidney diseases. She pioneered the of software and hardware to interrogate the tumor services, laboratory information systems, business application of digital pathology to nephrology microenvironment. Current imaging instrumentation analytics, electronic health records and informatics clinical research and trials and established several projects include light sheet microscopy, multiscale training and education. Active in organized digital pathology repositories for kidney biopsies in metabolism and multiscale imaging of the medicine, he is an advisor to the ASCP Annual the setting on international nephrology consortia, extracellular matrix. Meeting Steering Committee; Delegate, Wayne such as the Nephrotic syndrome study network Medical Society; Director for the API’s Pathology (NEPTUNE), Cure GlomeruloNephropathies MARY EDGERTON Informatics Summit; and Delegate for CDC’s CLIAC (CureGN), the INTErnational diGital Associate Professor, Department of committee. As a charter member of the Association nephRopAThology nEtwork (INTEGRATE), and the Pathology, Division of Pathology/Lab for Pathology Informatics, Dr. Tuthill has worked for Kidney Precision Medicine Project (KPMP). Over Medicine, MD Anderson the API from its inception serving as president, of the last decade she leveraged digital pathology the membership committee, education committee platforms to develop new scoring systems for kidney Mary E. Edgerton, M.D., Ph.D., associate professor member, and the organization’s original planning biopsies to test drug efficacy and for integration in the Department of Pathology at the University group and currently, chair, program committee. of morphologic data with clinical and molecular of Texas MD Anderson Cancer Center and Adjunct profiles. In collaboration with computer scientists, Professor in the Division of School of Health she is applying image analysis tools to extract visual Information Sciences at the University of Texas and subvisual features from digital kidney biopsies Health Science Center at Houston, is a 1976 Marshall to uncover the association of morphologic features Scholar, and has a BS in physics, PhD in Biophysics, with molecular mechanisms, enhance our ability to and an MD. Her specialties include breast pathology diagnosticate, prognostic, predict clinical outcomes, and pathology informatics. She has served on multiple and identify new therapeutic targets. College of American Pathologists (CAP) committees since 2000, and is currently Chair of the CAP KEVIN W. ELICEIRI Pathology Electronic ReporTing Committee (PERT), RRF Walter H. Helmerich Professor, and Past-President of the Association for Pathology Medical Physics and Biomedical Informatics. Her informatics accomplishments range Engineering, Investigator, CQCI, LOCI, from research into mining molecular data, use of UW-Madison discretized data capture to assist in the progress of precision medicine, development of tools for tissue Kevin W. Eliceiri is the RRF Walter H. Helmerich banking informatics and in development of Quality Professor of Medical Physics and Biomedical Improvement algorithms.
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 CONGRESS SCHEDULE DAY 2 THURSDAY MAY 27 2021
8:50-9:00 Global Engage Welcome Address KEYNOTE PRESENTATION: ULYSSES G. J. BALIS Professor of Pathology & Director, Division of Pathology Informatics, Director, Computational Pathology Laboratory Section, Department of Pathology, University of Michigan A High-performance Semi-supervised/Unsupervised Segmentation and Image Classification Tool Suite: Introducing 9:00-9:45 the University of Michigan VIPR Studio Project Image segmentation remains an important and integral step supporting the development of machine learning approaches. Segmentation of whole slide images (WSIs), and generation of ground truth maps, as critically needed steps for training algorithms, remains laborious and resource-intensive. This is compounded by the well-documented variable human performance in generating ground truth maps, of which their use in algorithm training can result in degraded machine learning performance. We present a turnkey segmentation suite, VIPR Studio, which simplifies and accelerates both image segmentation and classification. The presentation will consist of a didactic introductory session, followed by a live, interactive demonstration of the VIPR Studio Suite in use. Of note is the fact that this tool is free and immediately available for use by academic and non-commercial entities.
KEYNOTE PRESENTATION: MARILYN BUI Professor of Pathology, Moffitt Cancer Center
9:45-10:30 Engaged Pathologists and Quality Images Are the Essentials of Digital Pathology and AI While digital pathology and AI applications have gained momentum in pathology clinical practice, the collaboration between practicing pathologists and data scientists as well as the digital pathology and the AI industry has become more important. In addition, the quality of the whole slide images used for diagnosis and AI warrants special attention because of its significant downstream impact. This talk will address some examples of good practice experiences from literature reviews and from the initiatives of the Digital Pathology Association. The HQIP whole slide image quality improvement program of the College of American Pathologists will be highlighted. The intent is to raise awareness of the opportunities on how pathologists can be engaged and empowered in the digital health revolution to ultimately benefit patient care.
10:30-11:00 Morning Break / Poster Presentations / Virtual Exhibition Time
AI for Image Analysis and Advancements in Imaging
11:00-11:30 JUNYA FUKUOKA Professor, Department of Pathology, Nagasaki University Explainable AI in lung pathology
LEE A.D. COOPER Associate Professor of Pathology, Director, Computational Pathology, Director, Center for Computational Imaging and Signal Analytics, Northwestern University Feinberg School of Medicine Dense mapping of breast cancer tissue components through crowdsourcing High-resolution mapping of tissue regions and cells is a key emerging frontier for scientific study of the tumor microenvironment 11:30-12:00 and discovery of histologic biomarkers and associations. Unfortunately, there is a shortage of large-scale labeled datasets to train and validate deep-learning models to perform these tasks. This is attributed to medical domain specificity, necessitating exhaustive annotations from experts. In this work, we describe a crowdsourcing approach that engages medical students and pathologists in data collection for nucleus classification, localization and segmentation in breast cancer. Our protocol enables scalable generation of nuclear boundaries without laborious manual tracing, and we show that algorithmic suggestions improve the accuracy of non-expert annotations. We systematically examine interrater agreement and discuss modifications to the MaskRCNN model to allow accurate nucleus detection using our annotations. Additionally, we describe a technique we call Decision Tree Approximation of Learned Embeddings (DTALE) that leverages nucleus segmentation data to improve the interpretability and adoption of nucleus classification models.
12:00-12:40 SPEED NETWORKING SESSION Please join us in the ‘networking area’ for this interactive session. Networking and collaboration is vital in the Microbiome and Probiotics communities. As this is a business collaboration forum we have designed this session for you to meet other attendees for a series of 3 minute speed networking video calls. If there is mutual interest – exchange virtual business cards, and arrange a more formal meeting after the session.
12:40-13:15 Lunch DANIEL L. RUBIN Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics Research), Stanford University, and Director of Biomedical Informatics of the Stanford Cancer Institute
13:15-13:45 Scaling AI to Develop Robust Applications in Medical Imaging Although AI has potential to advance care in imaging-intensive disciplines such as radiology and pathology, there are challenges to develop robust and clinically useful AI models: (1) leveraging the tremendous amounts of unlabeled data, (2) tapping into multi-center data, and (3) automation bias and making AI algorithms “self-aware.” In this talk I will highlight some of the exciting frontiers in AI in medical imaging and the implications for data-driven medicine, focusing on (1) upstream and downstream applications for AI in medical imaging, (2) the challenge of data variability to federated learning and ways to overcome that challenge, (3) ways to overcome automation bias and infrastructure needed to enable evaluation of AI in the clinical workflow to ensure it improves clinical care as expected.
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 CONGRESS SCHEDULE DAY 2 THURSDAY MAY 27 2021
APRIL KHADEMI Assistant Professor, Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Canada
13:45-14:15 Revisiting Colour Normalization for Deep Learning-based Nuclei Segmentation Deep learning algorithms show great promise in analyzing diverse digital pathology data. Nuclei segmentation plays a crucial role in nuclear grading workflows; thus its accuracy needs to be maximized. There is conflicting literature on the impact that colour normalization (CN), a pre-processing technique to reduce colour variability, has on the performance of deep learning based nuclei segmentation algorithms. In this work, we explored this concept further on five multicenter breast cancer datasets and found that CN can enhance generalization for datasets that are very dissimilar to the training data but it may also be detrimental in cases where the training and testing data have similar colour characteristics, which may suggest that CN is altering the images in an unfavourable way. STEPHEN WONG John S Dunn Presidential Distinguished Chair of Biomedical Engineering, Houston Methodist; Professor of Pathology, Laboratory Medicine, Radiology, and Neuroscience, Weill Cornell Medicine Deep learning in Digital Pathology Powers Cancer Treatment, Research, and Optical Biopsy 14:15-14:45 Current digital pathology paradigm is to digitalize ex vivo or biopsy tissue or histopathologic images and apply computational algorithms, in particular machine learning and deep learning (ML/DL), to extract features or biomarkers for disease diagnosis. This presentation shows application of ML/DL powers digital pathology beyond diagnosis and into treatment and research. In addition, exogeneous agents added to pathologic specimens may create artifacts and cause phototoxicity and photobleaching. Label-free imaging or optical biopsy would have the potential to alleviate such issues; and its integration with effective ML/DL and endoscopy techniques will lead to in vivo digital pathology. Coupling pathologic image analysis with omics studies will expand the scope of digital pathology for understanding disease mechanism.
ANNE L MARTEL Professor, Medical Biophysics, University of Toronto, Canada 14:45-15:15 AI in digital pathology: making the most of unlabelled data Histopathology datasets are frequently very large but are sparsely labelled. Obtaining detailed annotations from pathologists is a time consuming and expensive process and it is important to make more efficient use of this scarce resource. For prediction tasks, we only have a single patient level label which must be applied to the thousands of patches making up a WSI. This talk will describe several semi-supervised and self-supervised approaches which can make more efficient use of weakly labelled data.
15:15 Conference Close DAY 2 BIOGRAPHIES
ULYSSES G. J. BALIS JUNYA FUKUOKA (AIMBE) College, and Distinguished Investigator in Professor of Pathology & Director, Professor, Department of Pathology, the Academy for Radiology & Biomedical Imaging. Dr. Division of Pathology Informatics, Nagasaki University Rubin has published over 250 peer-reviewed scientific Director, Computational Pathology paper and pending patents on 10 inventions. Laboratory Section, Department of Prof. Jun Fukuoka, MD. PhD. is a Japanese pathologist Pathology, University of Michigan whose expertise lies in the field of pulmonary disease APRIL KHADEMI and digital pathology. He has graduated from Shiga Assistant Professor, Electrical, Computer Dr. Balis is a board certified pathologist and University of Medical Science in 1995 and studied lung and Biomedical Engineering, Ryerson clinical informaticist at the University of Michigan pathology and molecular research at Mayo Clinic, AFIP, University, Toronto, Canada Department of Pathology, who currently serves and NIH. He was promoted to full professor in 2009 as the Medical Director of the Division of in Toyama University and relocated as a department April Khademi is Assistant Professor of Biomedical Pathology Informatics. He maintains long- chair and professor at Nagasaki University in 2012. Engineering at Ryerson University and Principle standing interests in computational pathology, From 2017, he started cross-appointment with one of Investigator of the Image Analysis in Medicine image analysis, digital pathology workflow, the largest hospitals, Kameda Medical Center, in Japan. Lab (IAMLAB), which specializes in the design of pathology operations and data analytics. The He has another face of innovative businessman and algorithms for pathology and radiology images. She Division of Pathology Informatics, which he launched two startup companies during his career in is also an Affiliate Scientist at St. Michael’s Hospital oversees, has a full complement of information the field of pathology. He is also a good teacher and and a Member of Institute for Biomedical Engineering, Science & Technology (iBEST). April holds a Ph.D. technology and laboratory specialists who has developed more than 30 pathologists worldwide degree in Electrical Engineering from the University provide direct support of the multiple clinical, and has mentored more than 100 undergraduate of Toronto and has had previous roles in research at research, and educational initiatives of the UM students/residents on either presenting research works University of Guelph, GE Healthcare/Omnyx, Pathcore Pathology Department, including housing one of in international meetings or publishing in scientific Inc., Sunnybrook Research Institute and Toronto the seven active pathology informatics fellowship journals. He has started research in digital pathology Rehab Institute. She is a licensed Professional programs, nationwide. since 2010 and has developed a fully digitized network Engineer in Ontario and IEEE Senior Member. More to share diagnostic process and education among information: www.ryerson.ca/akhademi MARILYN BUI several large institutes. Through the network, virtual Professor of Pathology, large laboratory among several institutes has been STEPHEN WONG Moffitt Cancer Center created. His young team is enthusiastic to develop John S Dunn Presidential Distinguished the workflow of human-AI collaboration. He currently Chair of Biomedical Engineering, Houston Marilyn M. Bui, MD, PhD, FCAP is a Senior serves as a president at Japanese Society of Digital Methodist; Professor of Pathology, Member in the Department of Pathology at Pathology (JSDP) and a director of the board at DPA. Moffitt Cancer Center (Moffitt) in Tampa, FL. Dr. Laboratory Medicine, Radiology, and Neuroscience, Bui serves as the Scientific Director of Analytic LEE A.D. COOPER Weill Cornell Medicine Microscopy Core and the Section Head of Bone & Associate Professor of Pathology, Stephen T. C. Wong, Ph.D., holds the John S. Dunn Soft Tissue Pathology. She is also a Professor and Director, Computational Pathology, presidential distinguished chair and is the founding the Fellowship Program Director of Cytopathology Director, Center for Computational chair of systems medicine and bioengineering at the University of South Florida (USF) Morsani Imaging and Signal Analytics, Northwestern University department, director of the Chao Center for BRAIN, College of Medicine. She strives to deliver the Feinberg School of Medicine best possible patient care by combing her director of cellular and tissue microscopy core and associate director of cancer center shared resources, expertise includes bone and soft tissue pathology, Lee Cooper is an Associate Professor of Pathology cytopathology, biomarker testing, and digital at Northwestern University. He received his PhD in Houston Methodist. He is a professor of pathology, pathology/AI. She continuously discovers new Electrical and Computer Engineering from Ohio State radiology, laboratory medicine, and neurosciences knowledge by research which is evidenced by University in 2009 and joined Emory and Georgia Tech at Weill Cornell Medicine. He contributed to the being an inventor and the study pathologist for as faculty in 2012. His research focuses on developing nation’s first enterprise PACS while at UCSF and multiple research grants. She has received patents software platforms for management and analysis of world’s first VLSI MB dynamic random-access in digital pathology and cancer diagnostics. She data from the pathology lab, and fundamental research memory chip at Bell Labs, directed imaging product has published over 185 peer-reviewed articles, 24 in machine learning methods for whole-slide imaging development for Philips Healthcare and electronic book chapters and 3 books. Dr. Bui is an award- and genomic data. His research has been funded by brokerage technology for Charles Schwab, and winning educator and mentor. Dr. Bui values the NCI, NIBIB, NIDDK, NINDS, NLM, and industry and founded bioinformatics and medical imaging research service to professional societies as an important foundation sources. centers at Harvard Medical School and Brigham mechanism to influence policies and standards to and Women’s Hospital. His current research focuses improve the quality of patience care in a broader DANIEL L. RUBIN on understanding the cause and find the cure for sense. She serves on committees organizing Professor of Biomedical Data Science, cancer and Alzheimer’s disease as well as reducing national meetings on pathology education. Radiology, and Medicine (Biomedical unnecessary tests and procedures. She has frequently lectured both nationally Informatics Research), Stanford and internationally, including keynotes. She is University, and Director of Biomedical Informatics of ANNE L MARTEL instrumental in developing the Digital Pathology the Stanford Cancer Institute Professor, Medical Biophysics, University Association’s Digital Anatomic Pathology of Toronto, Canada Academy, a cloud-based whole slide image Dr. Daniel Rubin is a tenured Professor of Biomedical educational resource. She is the creator and co- Data Science, Radiology, and Medicine (Biomedical Anne Martel is a Professor in Medical Biophysics editor of The Healing Art of Pathology published Informatics Research) at Stanford University and at the University of Toronto, a Senior Scientist by the College of American Pathologists (CAP). Director of Biomedical Informatics for the Stanford at Sunnybrook Research Institute, and a Vector The artwork and stories presented in the book Cancer Institute. His NIH-funded research program Faculty Affiliate. Her research program, funded celebrate the courage of patients, the compassion focuses on artificial intelligence in medicine and by CIHR, NSERC, NIH and the Canadian Cancer of physicians, and the strength of the human spirit. quantitative imaging, integrating imaging with Society, is focused on medical image and digital Dr. Bui is the pathologist member of the National clinical and molecular data, and mining these Big pathology analysis, particularly on applications Comprehensive Cancer Network Soft Tissue Data to discover imaging phenotypes that can of machine learning for segmentation, diagnosis, Sarcoma Panel. She is the editorial board member predict disease biology, define disease subtypes, and prediction/prognosis. In 2006 she co-founded of multiple journals. She was the President of and personalize treatment. Key contributions include Pathcore, a software company developing complete the Digital Pathology Association (2019) and discovering quantitative imaging phenotypes in workflow solutions for digital pathology. Dr Martel the President of Medical Staff of Moffitt (2018- radiology, pathology, and ophthalmology images that is an active member of the medical image analysis 2020). She chairs/chaired multiple committees identify novel clinical subtypes of disease that help to community and is a fellow of the MICCAI Society of the CAP. She is the President of The Chinese determine treatments and improve clinical outcomes. which represents engineers and computer scientists American Pathologists Association. Dr. Bui has He is a Fellow of the Fellow of the American College working in this field. She has served as board member earned several national awards including the 2019 of Medical Informatics, Fellow of the American of MICCAI and as an Associate Editor of IEEE Trans. CAP Distinguished Patient Care Award. Institute for Medical and Biological Engineering Medical Imaging.
7TH DIGITAL PATHOLOGY & AI CONGRESS USA 2021 OTHER EVENTS OF INTEREST
NASH - ACCELERATING AWARENESS, IDENTIFICATION AND CLINICAL TRIAL ENROLLMENT 2 June 2021 2021 Webinar
8TH DIGITAL PATHOLOGY & AI CONGRESS: USA 2-3 September 2021 New York, USA 2021
8TH DIGITAL PATHOLOGY & AI CONGRESS: EU 1-2 December 2021 London, UK 2021
6TH DIGITAL PATHOLOGY & AI CONGRESS: ASIA 26-27 April 2022 Seoul, South Korea 2022
2ND DIGITAL PATHOLOGY & AI CONGRESS: CHINA September 2022 Guangzhou, China 2022
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