Detection of senescence using machine learning algorithms based on nuclear features

Detection of senescence using machine learning algorithms based on nuclear features

Abstract Cellular senescence is a stress response with broad pathophysiological implications. Senotherapies can induce senescence to treat cancer or eliminate senescent cells to ameliorate ageing and age-related pathologies. However, the success of senotherapies is limited by the lack of reliable wa...

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Bibliographic Details
Main Authors: Imanol Duran, Joaquim Pombo, Bin Sun, Suchira Gallage, Hiromi Kudo, Domhnall McHugh, Laura Bousset, Jose Efren Barragan Avila, Roberta Forlano, Pinelopi Manousou, Mathias Heikenwalder, Dominic J. Withers, Santiago Vernia, Robert D. Goldin, Jesús Gil
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-45421-w

Internet

https://doi.org/10.1038/s41467-024-45421-w

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