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Machine Learning - Technical

Tuesday September 24, 2024 - 13:30 to 15:30

Room: TBD

EW4 Machine learning to predict transplant outcomes: Helpful or hype?

Dorry Segev, United States

Professor of Surgery and Population Health
Transplant Surgery
New York University


Dorry Segev, MD, PhD, is Professor of Surgery and Population Health and Vice Chair of Surgery at NYU, and the founding director of the NYU Center for Surgical and Transplant Applied Research. With an undergraduate degree in computer science and a graduate degree in biostatistics, Dr. Segev focuses on novel statistical and mathematical methods for simulation of medical data, analysis of large healthcare datasets, and large multi-center innovative clinical trials and cohort studies. Dr. Segev has published over 900 peer-reviewed research articles, and is ranked #1 worldwide in organ transplantation expertise and influence by ExpertScape. He is an elected member of the National Academy of Medicine, a recipient of the prestigious Global Thinker Award by Foreign Policy Magazine, and was named an Innovator of the Year by TIME Magazine. He has written two successful Congressional bills and received Letters of Commendation from President Barack Obama and Dr. Anthony Fauci.

Presentations by Dorry Segev

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