| Harvard Medical School Precision Medicine Conference | |
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United States - MA - Boston |
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| Hosted by: | HMS Dept of Biomedical Informatics |
| Venue: | Martin Conference Center, Harvard Medical School |
| Dates: | Jun 18, 2019 through Jun 18, 2019 |
| Event Registration: | 2019-04-01 through 2019-06-17 |
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Description |
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| Can AI Accelerate Precision Medicine? Recent progress in artificial intelligence has been touted as the solution for many of the challenges facing clinicians and patients in diagnosing and treating disease. Concurrently, there is a growing concern about the biases and lapses caused by the use of algorithms that are incompletely understood. Yet precision medicine requires sifting through millions of individuals measured with thousands of variables: an analysis that defeats human cognitive capabilities. In this conference, we ask the question whether AI can be used effectively to accelerate precision medicine in ways that are safe, non-discriminatory, affordable and in the patient’s best interest. To answer the question, we have three panels and two keynote speakers. The first panel addresses the question of Policy and the Patient—Who’s in Control? We will review the intersection of consent, transparency and regulatory oversight in this very dynamic ethical landscape. The second panel, Is there Value in Prediction?, addresses a widely-shared challenge in medicine, which is to predict the patient’s future, and most importantly, their response to therapy. The third panel on Hyperindividualized Treatments asks the question of how to think about a future which is fast-becoming the present, where therapy is “hyper-individualized”, so it is the very uniqueness of your genome that determines your therapy. As always, we have a patient representative for our keynote, Bryce Olson from Intel, who describes the analytic approach he has taken to the treatment of his metastatic prostate cancer. Our closing keynote will be given by Jim Tananbaum of Foresite Capital. He is one of the original investors and drivers of Insitro, an AI company that seeks to become a full service therapeutic engine. We hope this conference will create a larger consensus around these still controversial and mostly uncharted questions. | |
| Additional Information | |
| Event URL: | https://dbmi.hms.harvard.edu/events/precision-medicine-annual-conference/2019-ai-medicine |
| ISCB Member Discount: | None |
| Contact Person: | Samantha Lemos ([javascript protected email address]) |
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