Stanford Medicine’s Big Data in Precision Health Conference set for May 23-24

The two-day conference will feature leaders from academia, government and industry who harness immense data sets to more precisely predict, diagnose and treat disease.

The sixth annual Big Data in Precision Health Conference, set for May 23-24 at the Stanford University School of Medicine, will showcase the power of big data science to improve human health.

Precision health has the potential to transcend the conventions of current medical practices and usher in an approach to medicine that enhances our ability to predict and prevent disease and improves the health care system as a whole,” said Lloyd Minor, MD, dean of School of Medicine. “At this event, we invite the scientific community to connect with forward-thinkers in medicine who are leading the way in precision health by leveraging large-scale data analytics and digital tools.”

The conference will feature 38 speakers from academia, industry and government who will give talks on an array of precision health-related topics, including digital health, cancer immunotherapy, machine learning and rare and undiagnosed diseases. In an effort to kindle new collaborations and spark actionable solutions to the current challenges in health care, sessions will examine the big data trends and practices that span today’s health care sectors.

Experts will discuss their use of cutting-edge technologies and emerging practices that contribute to the realization of precision health. They’ll dig into the importance of extensive networks of open-access data, explain new wearable technology that collects personalized health data and show how biobanks can bring insights to population health as a whole.

Speakers at this year’s event will include Minor; Eric Dishman, director of the All of Us program at the National Institutes of Health; Dan Zeltzer, PhD, assistant professor of economics at Tel Aviv University; Adnan Jaigirdar, MD, medical officer at the Food and Drug Administration’s Center for Biologics Evaluation and Review; Rory Collins, MBBS, MSc, principal investigator of the UK Biobank and professor of medicine and epidemiology at Oxford University; Marsali Hancock, CEO of the EP3 Foundation; Isaac Kohane, MD, PhD, professor and chair of biomedical informatics at Harvard University; Andrew Ng, PhD, adjunct professor at Stanford and co-chairman and co-founder of Coursera; Katherine Chou, head of product at Google Healthcare Research; Regina Dugan, PhD, former vice president of engineering at Building 8, a research lab at Facebook; and Leanne Williams, PhD, professor of psychiatry and behavioral sciences at Stanford.



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