AI Tool Pinpoints Genes and Drug Combos to Restore Health in Diseased Cells
PDGrapher AI outperforms similar tools by ranking therapeutic targets up to 35% higher and processing data 25 times faster, enabling identification of effective drug combinations for complex diseases.
5 Articles
5 Articles
New AI tool predicts therapies to restore health in diseased cells Harvard Gazette
Health New AI tool predicts therapies to restore health in diseased cells Ekaterina Pesheva HMS Communications September 9, 2025 6 min read Currently using model to tackle Parkinson’s, Alzheimer’s In a move that could reshape drug discovery, researchers at Harvard Medical School have designed an artificial intelligence model capable of identifying treatments that reverse disease states in cells. Un…
AI Model Finds Gene Targets and Drug Combos to Reprogram Diseased Cells
Traditional drug discovery has often followed the “one drug, one target” paradigm—developing compounds against individual proteins thought to drive disease. This strategy produced notable successes such as kinase inhibitors and HER2-targeted antibodies, but it can fall short for complex diseases involving multiple pathways. Many transformative therapies, including checkpoint inhibitors and CAR T cells, emerged by targeting broader cellular proce…
Innovative AI Tool Identifies Genes and Drug Combinations to Revitalize
In a groundbreaking advancement set to transform the landscape of drug discovery, researchers at Harvard Medical School have unveiled an innovative artificial intelligence (AI) model that can identify therapeutic interventions capable of reversing pathological states within cells. This pioneering tool, known as PDGrapher, revolutionizes traditional methodologies by targeting a network of disease drivers rather than isolated molecular targets, of…
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