Machine learning and artificial intelligence, along with the algorithms that underpin them, hold great promise to improve health-care decision-making and biomedical innovation. But, as these powerful tools become an integral part of our lives, they pose unique challenges in areas of personal health-care information storage and use. What kinds of solutions could these technologies enable? What do patients and the general public need to understand—and consent to—about how their data is being used? What are the potential ethical and security downsides and pitfalls? 

Moderator

Ruth Reader

Health and Technology Reporter, Politico

Speakers

Blythe Adamson

Principal Scientist, Machine Learning, Flatiron Health

Joe Franklin

Head of Strategic Affairs, Clinical Studies Platforms, Verily Life Sciences

John Halamka

President, Mayo Clinic Platform

Colin Hill

CEO and Co-Founder, GNS Healthcare

Cynthia Rice

Chief Mission Strategy Officer, JDRF