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Department of Applied Mathematics and Theoretical Physics

An extensive new study published on June 24 in Nature Machine Intelligence shows that a prognostic tool developed by the van der Schaar Lab can recommend therapies for breast cancer patients more reliably than methods that are currently considered international clinical best practice. The study makes unprecedented use of complex, high-quality cancer datasets from the U.K. and U.S. to demonstrate the accuracy of Adjutorium, a machine learning system for prognostication and treatment benefit prediction.