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Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs

Medicine and Health

Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs

H. Gerdes, P. Casado, et al.

Discover the groundbreaking findings of DRUML, a machine learning approach that predicts the efficacy of anti-cancer drugs based on omics data. This research from a team led by Henry Gerdes and others at Barts Cancer Institute reveals remarkable accuracy in drug ranking, paving the way for improved cancer treatment outcomes.

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