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"By harnessing the vast datasets of biomedical information now available to us, we envision a world in which we can prevent disease before it strikes and cure it decisively if it does."

Discussion: Big Data In Precision Health

What data is missing to get to the next level and to replace a doctor? How to predict, prevent and cure diseases precisely? Watch a panel discussion organized by Stanford Medicine.

Precision Health is a fundamental shift to more proactive and personalized health care that empowers people to lead healthy lives. It is in this spirit of possibility and promise that Stanford Medicine hosted the sixth year of this conference in 2018, bringing together international researchers and leaders from academia, health care, government, and industry to develop actionable steps for improving human health.

“We’ve translated fundamental discoveries into advances in therapeutics, and we’ll continue to do that,” said medical school Dean Lloyd Minor, MD. “But now we also have the unique opportunity to make discoveries not necessarily based on mechanistic analyses, but on deriving information from vast treasure troves of data that already exist …. That’s really the power of big data.”

“Because AI technology is still evolving … only AI experts have a very good sense of the potential of AI, while only health care experts have a very good sense of how health care could benefit,” said Andrew Ng, PhD, an adjunct professor of computer science at Stanford and a globally recognized leader in artificial intelligence. “The approach that I believe will be successful in this era is getting AI people to learn more about health care, and get health care people to learn more about AI.”

Panelists on a panel about digital health and technology included:
Lisa Suennen (GE Ventures), Leanne Williams (Stanford), Jennifer Schneider (Livongo Health), Rich Mahoney (Seismic).  Moderator: Carla Pugh, Stanford

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