Medical, health, and genomics
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Dead-end Discovery: How offline reinforcement learning could assist healthcare decision-makers
Microsoft Research Senior Researcher Mehdi Fatemi, MIT Assistant Professor Marzyeh Ghassemi, and PhD student Taylor W. Killian answer several questions about their NeurIPS 2021 paper, “Medical Dead-ends and Learning to Identify High-risk States and Treatments.”…
Microsoft Research Blog
Using reinforcement learning to identify high-risk states and treatments in healthcare
As the pandemic overburdens medical facilities and clinicians become increasingly overworked, the ability to make quick decisions on providing the best possible treatment is even more critical. In urgent health situations, such decisions can mean…
Video
Towards a New Biology Nexus: Race, Society and Story in the Science of Life
Genetics and its many subfields have made strides in their attempt to define the flow of information that underlies how living things operate. This has created a landscape full of intrigue, complexity, and controversy, as…
