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Harvard Medical School, Broad Institute of Harvard and MIT, Dana-Farber Cancer Institute
MIT CSAIL2
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Imagine a medical "Google" where you can search for similar patients using text, images, and medical history, and predict future health risks years in advance – Apollo brings this closer to reality.
Injecting spatial transcriptomics data into existing pathology foundation models unlocks significant performance gains across a range of downstream tasks, including molecular status prediction and gene-to-image retrieval.