Medicine and HealthNature Communications
Detection of senescence using machine learning algorithms based on nuclear features
I. Duran, J. Pombo, et al.
This groundbreaking research explores cellular senescence and its significant implications in cancer and aging. Led by Imanol Duran and colleagues, the team harnesses machine-learning classifiers to reveal how various stressors induce senescence, paving the way for innovative senotherapies and drug efficacy assessments in both mice and humans.
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