The Age of Predictive Medicine

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• Ben Reis
• Monday 04 November 2019, 14:00-15:00
• Department of Computer Science and technology, Lecture Theatre 1.

If you have a question about this talk, please contact Pietro Lio.

Dr. Ben Reis will discuss recent developments in advanced machine learning approaches to some of the grandest challenges of human health, including suicide prediction, pandemic prediction, bioterrorism detection and drug safety prediction. The focus of the talk will be on understanding both the methodological challenges involved and the ramifications of generating actionable predictions in these critical areas. The talk will conclude by formulating a set of central challenges and opportunities facing the field of Predictive Medicine.

Bio: Dr. Ben Reis is the Director of the Predictive Medicine Group at Harvard Medical School. His research focuses on understanding the fundamental patterns of human disease and on developing novel approaches for predicting disease. He has created systems that allow doctors to predict dangerous clinical conditions years in advance, including suicide and domestic abuse, as well as predictive pharmacology systems that allow drug safety professionals to identify life-threatening adverse drug effects years in advance. Dr. Reis has advised the US government on establishing national biodefense systems in the wake of the 9/11 attacks, the Hong Kong government on building health infrastructure in response to the SARS pandemic, the Greek government on establishing biodefense systems for the Athens Summer Olympics, and the Chinese Government in advance of the Beijing Summer Olympics. He has been honored at the White House for his work on harnessing social networks to promote health, and was named one of the top health innovators in the world by the US State Department and NASA .

This talk is part of the CL-CompBio series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge talks
• Department of Computer Science and Technology talks and seminars
• Department of Computer Science and technology, Lecture Theatre 1
• Interested Talks
• School of Technology
• Trust & Technology Initiative - interesting events
• bld31

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