PMLS Virtual Series 2021 – AI, Machine Learning & Data Science

9:27-9:30am EST

9:30-9:55am EST

10:00-10:40am EST

10:45-11:40am  EST

Moving from Theory to Practice: Dispelling the Hype of AI

Moderator: Tom Chittenden, PhD, DPhil, PStat, Chief Technology Officer, Genuity Science; President and Founding Director, Genuity AI Research Institute

Panelists: Seiamak Bahram, MD, PhD, Professor of Medicine (Immunology), Strasbourg University; Marco Colonna, MD, Robert Rock Belliveau Endowed Professor, Pathology & Immunology; Professor of Medicine, Washington University School of Medicine; Michael Lodato, PhD, Assistant Professor of Molecular, Cell & Cancer Biology, University of Massachusetts Medical School

The AI “experiment” is over and has moved into practical applications to drive innovation in medicine. In this lively panel discussion, you’ll hear from scientists on the leading edge about how they are leveraging AI/ML in practice to improve human health outcomes. With precision medicine poised to transform patient care, the big data revolution in healthcare and drug development has taken center stage. Yet, the promise of precision medicine hinges on the ability to reduce the complex interconnections of large, multi-omic datasets into useful biological information. These experts will illuminate how the adoption of breakthrough, biologically-validated AI/ML approaches have resulted in evidence-based success with the potential to understand virtually any disease in much greater detail.

11:45-12:45pm  EST

From Population to Personal – The AI Opportunity to Impact Health and Treatments in Chronic Disease

Moderator: Steve Gardner, PhD, Chief Executive Officer, Precision Life Ltd

Panelists: Vern De Biasi, PhD, Chief Partnership Officer, Cyclica, Taryn Hall, MPH, PhD, Assistant Director, Research in Omics, OptumLabs – R&D, United Health Group;  Mette Nyegaard, PhD, MS, Professor, Personalized Medicine, Aalborg University, Denmark

The promise of precision medicine and personalized care to improve patient outcomes and individual wellness continues to entice, however progress outside cancer and rare disease has been slow. This panel will look at the potential for AI and precision medicine to impact chronic disease such as respiratory, neurodegenerative, neuropsychiatric and cardiometabolic disorders. We will discuss how AI can accelerate diagnosis, identification of genetic disease risks and development of new targeted treatments.

12:50-1:15pm  EST

Enabling the Next Generation of Clinical Trials with AI

Paolo Ocampo, MD, PhD,  Pathologist, Data Science Imaging, Roche

Artificial intelligence poses both unique opportunities and challenges as it revolutionizes healthcare through enablement of next generation clinical trials, reduced operational costs and delivery of improved patient care. In this talk, Dr. Ocampo will provide an understanding of the considerations that pharmaceutical and healthcare companies must address when using artificial intelligence to advance personalized medicine. Addressing these opportunities comprises Roche’s holistic approach to applying machine learning to digital pathology for enablement of advanced personalized medicine.

1:20-1:35pm  EST

How AI Can Improve Decision Making

Ralph Wiegner, PhD,  Global Head of Digitalizing Healthcare, Siemens Healthineers

You make hundreds of decisions every day. What is a good decision? Each of these decisions can determine the quality of care. This talk explains how integrated data and artificial intelligence can help make better decisions in diagnosis and therapy.

1:37-1:52pm  EST

Introduction to the Alliance for AI in Healthcare

Brandon Allgood, PhD, Chief Artificial Intelligence Officer, Valo

The Alliance for Artificial Intelligence in Healthcare (AAIH) is an international advocacy organization dedicated to the responsible adoption and application of AI/ML in healthcare. Our members represent all healthcare sectors, including drug R&D, digital health, medical devices, healthcare delivery, data science & technology providers with a shared goal of improving the state of healthcare globally through AI-enabled solutions.  In 2021 our initiatives are in the areas of data access, regulatory frameworks, fairness, bias and equity, and ML/AI standards.

1:55-2:35pm  EST

Keynote – Accelerating Genomic Discoveries with AI and Machine Learning 

Brian Donnelly, JD, MBA, Worldwide Leader, Diagnostics & Genomics, Amazon

The golden era of machine learning has arrived. With large genomic and multi-omic datasets at the center of both precision and personalized medicine, life sciences organizations need to evolve their AI and machine learning efforts from pilot experiments into fully operational and practical applications that accelerate discovery and drive innovation in genomics. In this keynote presentation, Amazon’s Brian Donnelly will share practical insights and real-world examples of how leading institutions are leveraging AI/ML every day to accelerate genomic analysis and improve health outcomes for patients.

2:35pm  EST

Closing Remarks 

Nigel Russell, Founder and President, Precision Medicine Leaders’ Summits, The Journal of Precision Medicine