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Anti-senescent drug screening by deep learning-based morphology senescence scoring

Biology

Anti-senescent drug screening by deep learning-based morphology senescence scoring

D. Kusumoto, T. Seki, et al.

Deep-SeSMo is a groundbreaking deep learning system developed by Dai Kusumoto and colleagues for the identification and quantification of senescent cells. This research not only evaluates known anti-senescent agents but also uncovers four novel drugs that suppress senescence by targeting inflammatory pathways.

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