Organisms & Multimodal Learning

With the rise of biobanks around the world, we are entering an era where there will be millions of individuals with whole genome sequences, detailed health histories, and high-resolution imaging phenotypes. With this comes the opportunity to develop exquisite characterizations of diseases and more accurate predictions of who will respond best to therapies. Motivated by the goal of making precision medicine a reality, our researchers are developing multimodal learning methods to better utilize rich, multimodal clinical datasets from partner healthcare systems.

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