Nature Communications (Jan 2021)

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

  • Dai Kusumoto,
  • Tomohisa Seki,
  • Hiromune Sawada,
  • Akira Kunitomi,
  • Toshiomi Katsuki,
  • Mai Kimura,
  • Shogo Ito,
  • Jin Komuro,
  • Hisayuki Hashimoto,
  • Keiichi Fukuda,
  • Shinsuke Yuasa

DOI
https://doi.org/10.1038/s41467-020-20213-0
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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Cellular senescence is a hallmark of ageing and is important for the pathogenesis of ageing-related diseases. Here, the authors develop a morphology-based deep learning system to identify senescent cells and a quantitative scoring system to evaluate the state of endothelial cells to evaluate the effects of anti-senescent reagents.