Harvard AI Tool Predicts Drug Combos to Restore Cell Health
Published in Nature Biomedical Engineering, the PDGrapher tool identifies multiple disease drivers and therapies to reverse cell dysfunction.
A New Approach to Drug Discovery
Researchers at Harvard Medical School have developed a new artificial intelligence tool called PDGrapher that can identify multiple drivers of disease in cells and predict combinations of drugs to restore those cells to a healthy state. The work was described on September 9, 2025, in the journal Nature Biomedical Engineering.
The approach moves away from traditional drug discovery methods that focus on a single target. "The advance moves away from traditional drug discovery approaches that look for and target single sources of cell dysfunction and instead aims to address underlying disease processes," Harvard …
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