13 - 14 October 2022

AI in Pharmaceuticals Summit AI in Pharmaceuticals Summit schedule

AI in Healthcare Summit Boston



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  • 08:00

    Coffee & Registration

  • 09:00

    Welcome to the Program

  • 09:05

    Opening Panel: Mastering the Data Quality and Interoperability Pain Point 

  • Asha Mahesh

    Moderator

    Asha Mahesh - Senior Director Janssen R&D Data Science Platforms & Privacy - The Janssen Pharmaceutical Companies of Johnson & Johnson

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  • Dr. Gang Xue

    Panelist

    Dr. Gang Xue - Senior Scientific Director - Johnson & Johnson

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    Dr. Gang Xue is a Senior Scientific Director at Johnson & Johnson. With B.S. degree in Chemistry and B.E. in Computer Science from Tsinghua University and Ph.D in Analytical Chemistry from the Iowa State University, Gang is currently the Global Head of Data Integration & Modeling at Johnson & Johnson Biotherapeutic Development & Supply. His team is missioned to build the end-to-end data infrastructure to enable knowledge driven product and process development with structured data capture, semantic data aggregation and advanced data analytics. The other focus of his team is the cross-modality PAT strategy for both process design space exploration in development and advanced process control in manufacturing. He also is one of the founding members of Allotrope Foundation while contributing to Pistoia Method Database and IDMP Ontology projects. Prior to his current role, Gang worked at Scientific Director at Amgen and Associate Research Fellow at Pfizer with 19 years of experience in Analytical Development, Lab Informatics and Lab Automation.

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  • Jay Bergeron

    Panelist

    Jay Bergeron - Sr. Director, R&D Solutions Delivery & Engineering - Pfizer

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  • Raj Nimmagadda

    Panelist

    Raj Nimmagadda - Global Head R&D Data Office, Data and Data Sciences - Sanofi

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    Raj Nimmagadda is the Global Head R&D Data Office at Sanofi, leading the data and digital transformation journey by establishing data strategy and data governance framework, data policies, and procedures. Prior to this she worked at Novartis where she was responsible for Central Operational Services in leading the implementation of transformative technology solutions, development of Clinical Data and Data Analytics Strategy. Prior to this role, Raj spent several years at BioClinica (Formerly Core Lab Partners Inc.) and J&J in leadership roles of increasing responsibility in Clinical technology, Clinical data management and Submissions. She holds an MBA in Strategy and Leadership (NYU Stern School of Business) and Masters in Computers (Osmania university).

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  • Carolyn J. Pfeiffer

    Panelist

    Carolyn J. Pfeiffer - Senior Director- Data Governance, Privacy & Ethics - The Janssen Pharmaceutical Companies of Johnson & Johnson

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    Carolyn leads and shapes the data governance and privacy practices for Janssen R&D Data Science enabling efficient implementation of data science capabilities across R&D while protecting data privacy. She works closely with data science team(s), data transparency team, business owners, legal, compliance, privacy, and IT amongst others to design and implemented a Data Science Data Governance program and processes. She provides subject matter expertise for data diligence, partnerships and L&A. Additionally, Carolyn is co-leading the JJDSC AI & Ethics Pillar and leading the JRD DS AI & Ethics Workstream.

    Carolyn has over 20 years of experience in the Pharmaceutical Industry. She has an established track record of leading security functions comprising of 3rd party risk management, cloud and SaaS offerings including compliance. This risk management supported the delivery of 15 billion dollars in revenue for a world leader in life sciences. Among her many achievements, she oversaw security and risk reviews for over 250 systems ensuring standards, policies and guidance were followed and maintained, oversaw innovative clinical digital trials working closely with legal, regulatory and business to ensure patient safety was first, and worked side by side with key global key stakeholders and leadership teams to evaluate pragmatic solutions for security and risk. She earned her Bachelor of Business Administration from Temple University and Master of Education degree from Arcadia University.

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  • 09:50

    Applications of AI in Pharma Stage: Chair Welcome

  • 10:05
    Shreshth Gandhi

    End-to-End Genetic Drug Development Enabled by the AI Workbench

    Shreshth Gandhi - Machine Learning Lead and Lead Scientist - Deep Genomics

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    Deep Genomics combines artificial intelligence (AI) and RNA biology to program and prioritize transformational AI-enabled therapies for almost any gene in any genetic condition. Our proprietary platform, called the AI Workbench, allows Deep Genomics to decode vast amounts of data on RNA biology, identify novel targets for genetic diseases, and produce therapeutic programs with a high success rate. In this talk, I'll outline our end-to-end drug development process with AI at its core, and give examples of some recent breakthroughs that have allowed us to make accurate predictions of variant effects and rapid identification of the active and potent therapeutic compounds.

    Shreshth Gandhi leads the Machine Learning group at Deep Genomics, a biotechnology company that uses ML to program and prioritize transformational RNA therapeutics for genetic diseases. He received his master's degree from the University of Toronto, where his research work focused on developing deep learning predictors for predicting RNA-protein binding. At Deep Genomics he continued this work at the intersection of deep learning and genomics and co-developed the splicing predictor that was used to identify that the ATP7B Variant c.1934T>G p.Met645Arg causes Wilson Disease by altering splicing.

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  • 10:35

    Increasing Efficiency for Life-Saving Drugs

  • 11:00

    Morning Networking Break

  • 11:20
    Han Chang

    Opportunities and Challenges of Applying ML and AI for Precision Oncology

    Han Chang - Senior Director, Head of Late Stage Oncology, Translational Bioinformatics - Bristol-Myers Squibb

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    Cancer is not a single disease but a collection of heterogenous subtypes. For effective treatment of cancer, it is essential to identify different cancer subtypes and understand their mechanisms. Recent advances of AL and ML offer new ways to analysis and integrate rich data from patients, and it could lead to new insights on cancer mechanisms and novel biomarkers. I will use examples to discuss opportunities and challenges of applying ML and AI for precision oncology

    Han Chang is the Director of Head of Late Stage Oncology, Translational Bioinformatics at Bristol-Myers Squibb where he is leading a team of analysts applying cutting-edge bioinformatics, statistics, and machine learning methods. He is working with clinical and large-scale data sets from BMS’s industry-leading late-stage oncology pipeline; influencing development strategies and advancing the BMS late clinical oncology pipeline.

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  • 11:50
    Kee Ng

    Cutting-Edge AI and ML Tech for Medicine: What’s Next?

    Kee Ng - Clinical Research Fellow - Yale University

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  • 12:15

    Panel Discussion: How to Prepare Your Organization to Roll out ML and AI 

  • Chris Hutchins

    Moderator

    Chris Hutchins - VP, Chief Data & Analytics Officer - Northwell Health

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    Chris is a senior health care leader with over 20 years of experience developing analytic teams, establishing data governance, data warehousing and business intelligence implementation, delivering solutions focused on patient experience, outcomes, cost, population health, quality, regulatory and risk based arrangements, revenue cycle, health system operations. He has extensive experience with organizational transformation and specializes in integrating analytic, IT and Informatics teams across organizational lines to improve solution delivery and enabling data driven insight.

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  • Dr. Besa H. Bauta

    Panelist

    Dr. Besa H. Bauta - Chief Data and Analytics Officer - Texas Department of Family and Protective Services

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    Dr. Besa Bauta is the Chief Data and Analytics Officer for the Texas Department of Family and Protective Services, Office of Data and System Improvement, where she oversees data, analytics, and data science initiatives. Previously she served as the Chief Data Officer and Chief Compliance Officer of MercyFirst, an organization that provides health and mental health services for clients in NYC and Long Island. As the divisional lead for the Research, Evaluation, Analytics, and Compliance for Health (REACH) at MercyFirst, she oversaw data integration technology, infrastructure development, research, evaluation, and analytics. She also served as the Chief Analytics Officer for Precision Human Services and was one of the founders of the Social Impact AI Lab (SIAIL), whose goal is to support the digital transformation of the human service sector. SIAIL won the national Social Determinants of Health Innovation Challenge sponsored by the Robert Wood Jonson Foundation in 2020 and was a finalist in the NYU Berkley Center for Entrepreneurship 2021 challenge under her guidance. Dr. Bauta was also the Research Director for the United States Agency for International Development (USAID) community-based education project in Afghanistan and the Senior Director of Research and Evaluation at the Center for Evidence-Based Implementation and Research (CEBIR) at Catholic Guardian Services.

    Dr. Bauta is an Adjunct Assistant Professor at New York University and teaches both public health and social work at the graduate and doctoral levels. She holds a Ph.D. from NYU with training in Health Services and Implementation Science, an MPH in Health Promotion and Disease Prevention from NYU College of Global Public Health, and an MSW in Clinical Social Work from NYU Silver School of Social Work. Dr. Bauta has Psychoanalytic training from the Institute of Psychoanalytic Education, NYU Langone School of Medicine, Division of Psychiatry, and a BA from Rutgers University with training in Evolutionary Anthropology, and Biomedical Engineering. She served as the Associate Editor for the journal of Administration and Policy in Mental Health and Mental Health Services Research, for AI in Mental Health. She is an Editorial Board Member of Telehealth and Medicine Today, Business of Data Global Advisory Board member, and one of the founders of Women Leaders in Data and Analytics.

    Dr. Bauta has extensive expertise in translational research, evaluation, healthcare data systems and services, and global public health. She was selected by CDO magazine as a Global Data Power Woman and key influencer in shaping the landscape of business and pioneering the field of data and analytics in 2020 and 21, and as the top 100 Data and Analytics professionals in 2021. Dr. Bauta is a published author who has written about mental health, non-communicable diseases, and improving health and mental health systems. She has worked both domestically and internationally on health and mental health projects and her current research focuses on optimizing health systems to improve health outcomes, and protection of health information including ethical practices in implementing Artificial/Augmented Intelligence technologies in human services and healthcare.

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  • Varun Gupta

    Panelist

    Varun Gupta - Vice President, Enterprise Data and Analytics - Beth Israel Lahey Health

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  • Eli Goldberg

    Panelist

    Eli Goldberg - VP of Applied Data Science - Current Health, A Best Buy Health Company

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    Of the subset of things that providers, payers, and people should do to help their members and patients and selves, they can only afford to do a smaller subset. AI and data science can help to maximize the subset of things that providers, payers, and people can afford to do. This means creating compelling business cases that grow impact and drive your mission to help keep people healthy. We’ll review key ways to create AI-driven business cases and ways to credibly measure your operational, clinical, and financial impact.

    Dr Eli Goldberg is an accomplished data science leader and entrepreneur with Eli has a proven track record of transforming new ideas into real world innovations. He holds several AI-based patents ranging from AI-assisted differential diagnosis for respiratory diseases (assigned to Novartis AG) to AI based methods and systems for tracking chronic conditions (assigned to CVS Aetna) He’s founded and successfully exited two companies in the medtech and international AI consulting space. He’s the VP of applied data science for Current Health, recently acquired for $400M by BestBuy Health. He’s the former senior director of clinical analytics, Analytics and Behavior Change for CVS Aetna, the world’s largest healthcare company (Fortune 4). He’s had 9 successful pharma and clinical product launches in the past 4 years. Combined, these products engage more than 18M Americans per year and drive > $250M per annum in incremental med cost savings and fee revenue.

    For more details, here’s Top 30 tech podcast detailing his life and a subset of his accomplishments (Underserved, Episode 69).

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  • 13:00

    Lunch & Networking

  • 14:00
    Peter Henstock

    Mining Drug Labels to Understand Adverse Events

    Peter Henstock - Machine Learning & AI Technical Lead - Pfizer

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    This talk will focus on an end-to-end effort AI/ML and natural language processing (NLP) for drug safety teams to extract adverse events from FDA drug labels and their extensions to EMA drug labels. We will discuss some of our key strategies using different aspects of NLP in the extraction process. The talk will also include some of the key challenges that we have encountered including the quest for preclinical terms that are not captured by MedDRA and other standard ontologies.

    Peter Henstock is currently the Machine Learning and AI Lead in the Pfizer Statistical Research Innovation group. He is working to push AI methodology across Pfizer to improve drug research and development. He holds a PhD in Artificial Intelligence from Purdue University and 5 Master’s Degrees. He also teaches both Software Engineering and Machine Learning at Harvard University.

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  • Jacob Kerner

    Co-Presenter

    Jacob Kerner - Machine Learning and AI Specialist - Syneos Health

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  • 14:30

    Roundtable Discussions

  • Ellie D. Norris

    1. How NLP Can Transform Healthcare

    Ellie D. Norris - Chapter Lead for Clinical & Real-World Evidence Generation (CRWEG) Application Engineering - Merck

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    Ellie D. Norris is the Innovation Chapter Lead for Clinical & Real-World Evidence Generation (CRWEG) Application Engineering at Merck with a current focus on natural language processing (NLP) use cases. She has 20 years of professional experience in scientific R&D and information technology and is passionate about exploring and implementing experimental technologies and problem-solving methods. She also serves as a co-lead of Aggregate Intellect's NLP Working Group and a co-organizer for the NYC Chapter of Women in Machine Learning and Data Science (WiMLDS). Ellie previously earned a bachelor's degree in Biochemistry from Virginia Tech and a master's degree in Bioinformatics from the University of Manchester in the United Kingdom.

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  • Sandeep Reddy

    2. Using AI to Augment Patient Care

    Sandeep Reddy - Associate Professor, School of Medicine, Deakin University, Australia and - Member, Roster of Digital Health Experts, World Health Organization

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    Associate Professor Sandeep Reddy is an Artificial Intelligence (AI) in Healthcare researcher based at the Deakin School of Medicine besides being the founder/chairman of Medi-AI, a globally focused AI company. He also functions as a certified health informatician and is a World Health Organisation recognised digital health expert. Further, he is a Fellow of the Australasian Institute of Digital Health and a certified health executive with the Australasian College of Health Service Management. He has a medical and healthcare management background and has completed machine learning/ health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare in addition to sitting on various international committees focusing on AI in Healthcare.

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  • Sage Witham

    3. Validating AI-Enabled Clinical Products

    Sage Witham - Director, AI & Clinical Collaborations - GE Healthcare

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    Sage Witham is a Director for AI and Clinical Collaboration research programs at GE Healthcare. Sage is based in Boston and is responsible for the management of AI research and product development activities that help GEHC and research collaborators globally. She works with partnering organizations and provides the conduit into GEHCs product development teams to ensure joint objectives are achieved in a timely and efficient manner.

    Sage holds a Bachelor’s in Business Administration from Northeastern University. She has been with GE for over 7 years, spending time in multiple GE businesses working in cross-functional project management roles to support business needs.

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  • Anemone Kasasbeh

    4. Overcoming the Data Quality Challenge

    Anemone Kasasbeh - Data Scientist - United Health Services Hospitals

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    Anemone is currently working as a Data Scientist at United Health Services Hospitals, which is the largest and most comprehensive provider of healthcare services in upstate New York's Southern Tier. Anemone is also a PhD Candidate at State University of New York at Binghamton in Systems Science and Industrial Engineering Department. Her expertise is in advanced data analytics with a focus on healthcare systems. Anemone’s current professional focus is improving healthcare using big data, prediction modelling, simulation, and machine learning to help deliver better patient experience. Anemone is passionate about using data science in both academia and industry. She has published several peer-reviewed research papers in healthcare and data science.

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  • Amy Booth

    5. Implementing AI and ML in the Clinical Workflow

    Amy Booth - Director, Physician Practice Transformation and Performance Analytics - UHS Hospitals

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  • Elias Abou Zeid

    6. AI in Personalized Care

    Elias Abou Zeid - Associate Director of Data Science, AI and Deep Analytics - Sanofi

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    Elias Abou Zeid is an expert in AI and wearable technology. He is currently an Associate Director of Data Science at Sanofi working on using AI to develop digital biomarkers. Before joining Sanofi, Elias worked at Masimo, developing machine learning and signal processing algorithms for non-invasive medical devices. Elias holds a bachelor’s degree in computer engineering, a master’s degree, and PhD. in biomedical engineering from McGill University and University of Toronto, respectively. His graduate research focused on innovating machine and deep learning methods for healthcare applications. Elias is passionate about patient-centric care and the role played by AI. He is a frequent speaker and participant at conferences and community events related to AI and healthcare. In his spare time Elias enjoys biking, soccer, and table tennis.

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  • 15:30

    Afternoon Networking Break

  • 16:00
    Shameer Khader

    Realizing the Potential of Big Data, AI and ML in Pharma

    Shameer Khader - Senior Director (AI/ML, Data Science, Digital Health and Bioinformatics) - AstraZeneca

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    Dr. Shameer Khader is currently working as a Senior Director of Data Science and Artificial Intelligence at AstraZeneca, USA. He leads a global team that focuses on leveraging trans-disciplinary (biomedical, healthcare, and clinical) big data and machine intelligence to accelerate drug discovery and development. He has more than a decade of experience in building and leading bioinformatics and data science in both academia and industry. He obtained his Ph.D. in computational biology from the National Center for Biological Sciences in India. He completed his post-doctoral training in computation genomics and precision medicine from Mayo Clinic, Rochester, MN. He has published more than 70 peer-reviewed research papers in the areas of healthcare data science, bioinformatics, drug discovery, and precision medicine. His work was featured in media outlets including Forbes, Fast Company, Bloomberg News, and Times of India. He received multiple awards for his research contributions; His work on developing an open catalog of drug repositioning has won the Swiss Institute of Bioinformatics' Bioinformatics Resource Innovation Award in 2017. Recently, he was recognized as one of the 100 Artificial Intelligence Leaders in Drug Discovery & Healthcare (DKI Global and Forbes).

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  • 16:30
    Kavishwar Wagholika

    Biomedical Data Mining for Improved Clinical Management

    Kavishwar Wagholika - Assistant Professor of Medicine - Harvard Medical School

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    Kavishwar (Kavi) Wagholikar, MBBS, PhD, is Assistant Professor of Medicine at Harvard Medical School and Assistant in Computer Science at Massachusetts General Hospital. His expertise is in the areas of Artificial Intelligence and health-informatics, and he has over 50 publications.

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  • 17:00

    Closing Chair Remarks

  • 17:10

    Networking Reception

  • 18:10

    End of Day One

  • 08:00

    Coffee & Registration

  • 09:00

    Panel Discussion: Overcoming the Trust and Ethical Implications of AI in Healthcare

  • 09:45
    Cortnie Abercrombie

    Panelist

    Cortnie Abercrombie - CEO and Founder - AI Truth

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    Between leveraging AI health assistants, augmented reality, sensor technology and light grids, the possibilities for the future of AI in healthcare are nearly endless: AI assistants that use personalized algorithmic plug-ins from your doctor’s office to coordinate your in-home care, track your vitals, share exercise tips, order heart healthy foods, tiny drones to bring you medicine, holographic alerts that capture emergencies in real time and send captured video to authorized family and care providers. We have the potential to improve quality of life for all ages, as well as to allow those who need additional care more comfort from the privacy of their own homes. By preventing and reacting to major health incidents, AI could literally save your life. However, no one will be willing to allow these systems into their home and personal care if there is no trust. How can we build that fundamental foundation to get us to the “fun stuff” that can be done with AI?

    Announced as one of “12 Brilliant Women in Artificial Intelligence & Ethics to Watch in 2018” by Medium, “Top 100 Innovators in Data and Analytics in 2018” by Corinium Intelligence, and one of “10 Big Data Experts to Know” by Information Management, Cortnie Abercrombie advises teams, organizations, venture capitalists, and startups on driving innovation sustained by responsible AI practices. She is also the founder of AI Truth, a nonprofit advocating for ethical and responsible AI systems creation and use. At IBM she pioneered AI solutions for Fortune 500 companies and is world-renowned for establishing Chief Data Officers and data-driven organizations. Her coverage includes Forbes, Inc. Magazine, Medium, CRN, KD Nuggets, The Cube, CEO Forum, Diversity in Action and Chief Content Officer Magazine.

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  • Mary Jane Dykeman

    Panelist

    Mary Jane Dykeman - Managing Partner - INQ Law

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    Mary Jane Dykeman is a managing partner at INQ Law. In addition to data law, she is a long-standing health lawyer. Her data practice focuses on privacy, artificial intelligence (AI), cyber preparedness and response, and data governance. She regularly advises on use and disclosure of identifiable and de-identified data. Mary Jane applies a strategic, risk and innovation lens to data and emerging technologies. She helps clients identify the data they hold, understand how to use it within the law, and how to innovate responsibly to improve patient care and health system efficiencies. In her health law practice, Mary Jane focuses on clinical and enterprise risk, privacy and information management, health research, governance and more. She currently acts as VP Legal, Chief Legal/Risk to the Centre for Addiction and Mental Health, home of the Krembil Centre for Neuroinformatics, and was instrumental in the development of Ontario’s health privacy legislation.

    Mary Jane regularly consults on large data initiatives and use of data for health research, quality, and health system planning. Her consulting work extends to modernizing privacy legislation and digital societies, and she works with Boards, CEOs and CISOs, as well as innovation teams on the emerging risks, trends and opportunities in data. Mary Jane regularly speaks on AI, cyber risk and how to better engage and build trust with clients and customers whose data is at play. She is also a frequent speaker and writer on health law and data law. Mary Jane is co-founder of Canari AI, an AI risk impact solution.

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  • Bill Gillis

    Panelist

    Bill Gillis - Former VP Product Management, Mayo Clinic Platform - Mayo Clinic

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    Bill Gillis was formally the Vice President, Product Management for the Mayo Clinic Platform. In his role, Bill lead Health Information Technology (HIT) innovations that supported the Mayo Clinic Platform vision. To create a healthier world where personalized, predictive and innovative care is accessible to all. Having worked in health care IT for more than twenty five years, Bill specializes in Next Generation Clinical Insight generation, Accountable Care, Technology driven Population Health solutions, Electronic Health Records (EHR) and interoperability strategies, technologies and deployments. Bill has led multiple enterprise-wide clinical system integrations over his tenure in the HIT space.

    Prior to his role with Mayo Clinic Platform, Bill was the CIO for Beth Israel Lahey Health Performance Network. (BILHPN). He led the BILHPN team that architected and deployed what is believed to be the first cloud-based EHR offerings in the country. He was an early adopter of using real-time EHR data over lagged claims data to drive performance in value based care contracts. This use of technology enabled BILHPN to achieve ranking as the #1 performing CMS ACO in Massachusetts and #3 nationally, as well as the #1 nationally performing ACO in quality reporting for multiple years.

    Bill is a leading, national authority sought after for his compelling historical perspective on HIT, innovative solutions to current industry technology challenges and his thought leadership. He is often called on to provide expert commentary on emerging trends in health care IT for some of the leading industry news health care brands, Healthcare Informatics, Health IT News, Health Data Management, HIT Outcomes, Health Leaders, SearchHealthIT, Tech Target, Search CIO, and Health Tech Magazine.

    Bill has also led public roundtable discussions, panels and notable keynote addresses including at Healthcare Information and Management Systems Society (HIMSS) conferences, Value-Based Care Summit Series, AI in Healthcare Summit, Becker's Hospital Review conferences and Healthcare Innovation’s, Health IT Summit, among others. He has also delivered speeches for Harvard Medical School, Boston University, and Suffolk University.

    In his free time, Bill works with several nonprofit organizations whose mission is to improve health care in developing countries through the use of technology. Along with esteemed HIT accomplishments, Bill is also an accomplished motorsport athlete who has competed in several international motorsports events such as the Daytona 200, Isle of Man TT, FIM Supermono World Championship and the Bonneville Speed Trails.

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  • 09:45
    Dr. Eugene Tunik

    Research, Advancements and Future Trends - Chair Welcome

    Dr. Eugene Tunik - Director for AI + Health - The Institute for Experiential AI, Northeastern University

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    Gene Tunik is the director for AI+health at the Institute for Experiential AI, as well as the Associate Dean of Research and Innovation and is a faculty member in the Bouvé College of Health Sciences with adjunct appointments in the departments of Bioengineering and Electrical and Computer Engineering. He directs the Laboratory for Movement Neuroscience in the Department of Physical Therapy, Movement, and Rehabilitation Science.

    Tunik’s research focuses on the study of human neural control of movement. More specifically, he looks at dextrous control of the hand as it relates to cognitive-perceptual-motor processes in virtual reality applications, human and human-robot interactions, and neurorehabilitation. His lab work includes motion capture (including gaze), physiological recording, virtual reality and robotic technology, cutting-edge non-invasive brain stimulation, and computational modeling techniques. Tunik is also currently studying neural circuits underlying reach-to-grasp organization and coordination for prosthetic, human-computer interaction, and stroke rehabilitation applications; and developing algorithms to improve human-robot collaboration on object handover tasks. His other projects explore early biomarkers of ALS and Identifying declines and reserves in cognitive-motor interactions in aging.

    Tunik earned a Bachelor of Science in Physical Therapy from Northeastern, and a doctoral degree in Cellular, Molecular, and Behavioral Neuroscience from Rutgers University, before completing his postdoctoral training at the Center of Psychological and Brain Science at Dartmouth College.

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  • 10:00
    Nathan Wang

    Amplifying Data from Medical Imaging With Deep Learning

    Nathan Wang - Deep Learning/Medical Imaging Researcher - Johns Hopkins University

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    Of the subset of things that providers, payers, and people should do to help their members and patients and selves, they can only afford to do a smaller subset. AI and data science can help to maximize the subset of things that providers, payers, and people can afford to do. This means creating compelling business cases that grow impact and drive your mission to help keep people healthy. We’ll review key ways to create AI-driven business cases and ways to credibly measure your operational, clinical, and financial impact.

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  • 10:30
    Matthew Versaggi

    Ask Me Anything: Quantum 101 for Pharma

    Matthew Versaggi - Senior Director of Artificial Intelligence and Cognitive Technology + Distinguished Engineer- Optum Technology - UnitedHealth Group

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    PRESENTATION: - Role of Quantum Computing in Healthcare This presentation will provide a quick introduction into quantum computing followed by highlighting how QC and healthcare intersect. It will look at the use-cases, security, education, the patent space, the producer/consumer divide, key lessons learned, the strategic maturity scale of QC, business justifications and key events in the wild from our journey as a fortune-5 healthcare company. Time permitted; we’ll show some live demos of QC to highlight it’s notable capabilities.

    Ask Me Anything: Quantum 101 for Pharma This is an open forum focusing on the basics of quantum computing for those in the Pharma space. It draws from the 4+ years quantum journey of a fortune-5 healthcare company. Topics at the ready for discussion are: the use-cases, security, education, the patent space, the producer/consumer divide, key lessons learned, the strategic maturity scale of QC, business justifications and key QC events in the wild from.

    • Senior Leader in the AI space with Fortune-5 healthcare experience who possesses a unique blend of business, technology, entrepreneurial, and academic backgrounds; is an experienced public speaker, strategist, and mentor; and has international business experience. • Other responsibilities I hold are Education and Subject Matter Expert in AI/ML for College of Artificial Intelligence in the Optum Tech University, and Subject Matter Expert in the UHG Patent Review Board reviewing AI/ML technologies. • I have four university degrees: BA (Computer Science), BS (Finance / MIS), MS (Computer Science -Artificial Intelligence), MBA (International Business / Economics) and Professional certificates in Security (Server / Network), Data Science / Machine Learning, Artificial Intelligence, and Quantum Computing.

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  • 11:00

    Morning Break

  • 11:20

    AI-Based Care Recommendations

  • 11:50
    Sampath Kandala

    The Future of AI in Oncology

    Sampath Kandala - GM - Oncology Solution, Treatment Guidance & Innovation Solutions - GE Healthcare

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    The Future of AI in Oncology

    Cancer is the 1st or the 2nd leading cause of death based on the region. Cancer care is highly multi-modality in nature driven by complex care coordination among multiple personas: Patient, Providers, Pharma and Payer. The patient goes through a very intense process from diagnosis to post treatment prognosis that can last from days to months to years. AI can play a key role in improving the process at every step of the care pathway such as: Enhancing the imaging techniques for better characterization of disease, integration of big data for clinical decision support such as treatment selection, decreasing the time and improving the precision from Patient intake to first treatment dose etc. In this session, we will focus on few of these key emerging themes and illustrate GE’s vision and commitment into the Future of AI in Oncology.

    Sampath (Sam) Kandala is the General Manager for Oncology solutions at GE Healthcare focused on Radiation Oncology and Theranostics. Sam has 20 yrs experience in healthcare industry working in cross-functional leadership roles in Imaging and Bioprocessing domains. Sam’s passion is to build healthcare businesses and technologies that will improve quality and increase access.

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  • 12:20
    Dr. Eugene Tunik

    Chair Reflection

    Dr. Eugene Tunik - Director for AI + Health - The Institute for Experiential AI, Northeastern University

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    Gene Tunik is the director for AI+health at the Institute for Experiential AI, as well as the Associate Dean of Research and Innovation and is a faculty member in the Bouvé College of Health Sciences with adjunct appointments in the departments of Bioengineering and Electrical and Computer Engineering. He directs the Laboratory for Movement Neuroscience in the Department of Physical Therapy, Movement, and Rehabilitation Science.

    Tunik’s research focuses on the study of human neural control of movement. More specifically, he looks at dextrous control of the hand as it relates to cognitive-perceptual-motor processes in virtual reality applications, human and human-robot interactions, and neurorehabilitation. His lab work includes motion capture (including gaze), physiological recording, virtual reality and robotic technology, cutting-edge non-invasive brain stimulation, and computational modeling techniques. Tunik is also currently studying neural circuits underlying reach-to-grasp organization and coordination for prosthetic, human-computer interaction, and stroke rehabilitation applications; and developing algorithms to improve human-robot collaboration on object handover tasks. His other projects explore early biomarkers of ALS and Identifying declines and reserves in cognitive-motor interactions in aging.

    Tunik earned a Bachelor of Science in Physical Therapy from Northeastern, and a doctoral degree in Cellular, Molecular, and Behavioral Neuroscience from Rutgers University, before completing his postdoctoral training at the Center of Psychological and Brain Science at Dartmouth College.

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  • 12:30

    Lunch & Networking

  • 13:15

    Discussion Group: Best Practices for AI Implementation in Healthcare

  • Elliot Mitchell

    Facilitator

    Elliot Mitchell - Senior Data Scientist - Geisinger

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    Elliot is a Senior Data Scientist at Geisinger's Steele Institute for Health Innovation, where he develops, implements, and evaluates human-centered AI / ML interventions throughout the health system. Elliot graduated from Columbia University with a PhD in Biomedical Informatics where he researched AI tools for chronic disease management and coaching. Previously, he worked in a technical role at Epic in Madison, WI.

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  • Uma Sridharan

    Facilitator

    Uma Sridharan - Senior Director of Data Analytics - Beckton Dickinson

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    Uma Sridharan serves as the Senior Director of Data Analytics as part of the technology and Global Services team at Beckton Dickinson. She joined the company in Feb 2021 and is accountable for analytics value creation from data assets and ecosystems enabling the company’s 2025 bold growth and transformation agenda.

    Prior to joining BD, she served in numerous data and analytics leadership roles at Cytiva and GE including Digital Strategy leader for the Cytiva business. During her 20+ years of experience, Uma has progressed through global roles in multiple functions and locations and managed critical product launches and delivery of new data engineering capabilities.

    Uma is known for her innovative and results-oriented approach and leads a global team. Uma also supports and mentors’ young engineers through the Asian Associate Resource Group as well as STEM women engineers. Uma received her executive MBA from Columbia Business School and an electrical engineering degree from National Institute of Technology, Suratkal, India.

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  • Shawn Albert

    Facilitator

    Shawn Albert - Lead Data Scientist - Healthfirst

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  • 14:00

    Discussion Group: Overcoming the Clinical and AI Knowledge Gap

  • Dr. Eugene Tunik

    Facilitator

    Dr. Eugene Tunik - Director for AI + Health - The Institute for Experiential AI, Northeastern University

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    Gene Tunik is the director for AI+health at the Institute for Experiential AI, as well as the Associate Dean of Research and Innovation and is a faculty member in the Bouvé College of Health Sciences with adjunct appointments in the departments of Bioengineering and Electrical and Computer Engineering. He directs the Laboratory for Movement Neuroscience in the Department of Physical Therapy, Movement, and Rehabilitation Science.

    Tunik’s research focuses on the study of human neural control of movement. More specifically, he looks at dextrous control of the hand as it relates to cognitive-perceptual-motor processes in virtual reality applications, human and human-robot interactions, and neurorehabilitation. His lab work includes motion capture (including gaze), physiological recording, virtual reality and robotic technology, cutting-edge non-invasive brain stimulation, and computational modeling techniques. Tunik is also currently studying neural circuits underlying reach-to-grasp organization and coordination for prosthetic, human-computer interaction, and stroke rehabilitation applications; and developing algorithms to improve human-robot collaboration on object handover tasks. His other projects explore early biomarkers of ALS and Identifying declines and reserves in cognitive-motor interactions in aging.

    Tunik earned a Bachelor of Science in Physical Therapy from Northeastern, and a doctoral degree in Cellular, Molecular, and Behavioral Neuroscience from Rutgers University, before completing his postdoctoral training at the Center of Psychological and Brain Science at Dartmouth College.

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  • Lei Cheng

    Facilitator

    Lei Cheng - Lead Data Scientist - Blue Cross & Blue Shield of Rhode Island

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    Lei Cheng, MSc, is the Lead Data Scientist for BlueCross and BlueShield of Rhode Island. He has experience in data science across multiple fields and focuses on corporate AI strategy & Care Management AI to better patient outcomes. He has degrees in Applied Data Science and Industrial & Systems Engineering.

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  • Dr. Besa H. Bauta

    Facilitator

    Dr. Besa H. Bauta - Chief Data and Analytics Officer - Texas Department of Family and Protective Services

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    Dr. Besa Bauta is the Chief Data and Analytics Officer for the Texas Department of Family and Protective Services, Office of Data and System Improvement, where she oversees data, analytics, and data science initiatives. Previously she served as the Chief Data Officer and Chief Compliance Officer of MercyFirst, an organization that provides health and mental health services for clients in NYC and Long Island. As the divisional lead for the Research, Evaluation, Analytics, and Compliance for Health (REACH) at MercyFirst, she oversaw data integration technology, infrastructure development, research, evaluation, and analytics. She also served as the Chief Analytics Officer for Precision Human Services and was one of the founders of the Social Impact AI Lab (SIAIL), whose goal is to support the digital transformation of the human service sector. SIAIL won the national Social Determinants of Health Innovation Challenge sponsored by the Robert Wood Jonson Foundation in 2020 and was a finalist in the NYU Berkley Center for Entrepreneurship 2021 challenge under her guidance. Dr. Bauta was also the Research Director for the United States Agency for International Development (USAID) community-based education project in Afghanistan and the Senior Director of Research and Evaluation at the Center for Evidence-Based Implementation and Research (CEBIR) at Catholic Guardian Services.

    Dr. Bauta is an Adjunct Assistant Professor at New York University and teaches both public health and social work at the graduate and doctoral levels. She holds a Ph.D. from NYU with training in Health Services and Implementation Science, an MPH in Health Promotion and Disease Prevention from NYU College of Global Public Health, and an MSW in Clinical Social Work from NYU Silver School of Social Work. Dr. Bauta has Psychoanalytic training from the Institute of Psychoanalytic Education, NYU Langone School of Medicine, Division of Psychiatry, and a BA from Rutgers University with training in Evolutionary Anthropology, and Biomedical Engineering. She served as the Associate Editor for the journal of Administration and Policy in Mental Health and Mental Health Services Research, for AI in Mental Health. She is an Editorial Board Member of Telehealth and Medicine Today, Business of Data Global Advisory Board member, and one of the founders of Women Leaders in Data and Analytics.

    Dr. Bauta has extensive expertise in translational research, evaluation, healthcare data systems and services, and global public health. She was selected by CDO magazine as a Global Data Power Woman and key influencer in shaping the landscape of business and pioneering the field of data and analytics in 2020 and 21, and as the top 100 Data and Analytics professionals in 2021. Dr. Bauta is a published author who has written about mental health, non-communicable diseases, and improving health and mental health systems. She has worked both domestically and internationally on health and mental health projects and her current research focuses on optimizing health systems to improve health outcomes, and protection of health information including ethical practices in implementing Artificial/Augmented Intelligence technologies in human services and healthcare.

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  • 14:45
    Cortnie Abercrombie

    Closing General Session: Infinite Possibility: The (Converged) Future of AI in Healthcare

    Cortnie Abercrombie - CEO and Founder - AI Truth

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    Between leveraging AI health assistants, augmented reality, sensor technology and light grids, the possibilities for the future of AI in healthcare are nearly endless: AI assistants that use personalized algorithmic plug-ins from your doctor’s office to coordinate your in-home care, track your vitals, share exercise tips, order heart healthy foods, tiny drones to bring you medicine, holographic alerts that capture emergencies in real time and send captured video to authorized family and care providers. We have the potential to improve quality of life for all ages, as well as to allow those who need additional care more comfort from the privacy of their own homes. By preventing and reacting to major health incidents, AI could literally save your life. However, no one will be willing to allow these systems into their home and personal care if there is no trust. How can we build that fundamental foundation to get us to the “fun stuff” that can be done with AI?

    Announced as one of “12 Brilliant Women in Artificial Intelligence & Ethics to Watch in 2018” by Medium, “Top 100 Innovators in Data and Analytics in 2018” by Corinium Intelligence, and one of “10 Big Data Experts to Know” by Information Management, Cortnie Abercrombie advises teams, organizations, venture capitalists, and startups on driving innovation sustained by responsible AI practices. She is also the founder of AI Truth, a nonprofit advocating for ethical and responsible AI systems creation and use. At IBM she pioneered AI solutions for Fortune 500 companies and is world-renowned for establishing Chief Data Officers and data-driven organizations. Her coverage includes Forbes, Inc. Magazine, Medium, CRN, KD Nuggets, The Cube, CEO Forum, Diversity in Action and Chief Content Officer Magazine.

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  • 15:15

    Close of AI in Healthcare Summit

AI in Healthcare Summit Boston

AI in Healthcare Summit Boston

13 - 14 October 2022

Get your ticket
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