Media Partners




8:00 - 9:15

Big data and machine learning have the potential to improve health, detecting disease at an earlier stage and personalizing interventions. The key ingredient, some say, is applying algorithms to population-wide datasets. But the question remains: is it enough to train smarter algorithms with broader datasets? What other approaches, diagnostics tools, and technologies do we need to accurately assess a patient’s unique needs and build a personalized intervention? A panel of experts across diagnostics, informatics, and therapeutics from government, academia, integrated health centers, data science, and biopharma will lead a highly interactive exploration of these issues and predict what it will take to realize the role of data science enabling personalized medicine.
Marty Tenenbaum, PhD, Founder and Chairman, Cancer Commons; Prominent AI Researcher; Cancer Survivor (Moderator)
Tanya Cashorali, Founder, TCB Analytics
David Smoley, CIO, AstraZeneca
Additional Speakers to be Announced

8:00 - 10:00

A popular session at Tri-Conference! This panel session will feature a series of short podium presentations on emerging and hot technologies in molecular medicine. Each speaker will have 7 minutes to present. After all speakers have presented, there will be a moderated Q&A with attendees. The presentations are not meant to be a corporate or specific product pitch. Each speaker will focus on a technology and solution framed around a motivational clinical problem and how their particular company/organization is solving it.
Joseph Krueger, CSO, Flagship Biosciences
Additional Speakers to be Announced

* 不測の事態により、事前の予告なしにプログラムが変更される場合があります。

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