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A quick and reliable image-based AI algorithm for evaluating cellular senescence of gastric organoids.

Ruixin YangYutong DuWingyan KwanRanlin YanQimeng ShiLu ZangZhenggang ZhuJianming ZhangChen LiYingyan Yu
Published in: Cancer biology & medicine (2023)
Given the lack of indicators for evaluating organoid growth status, we established a reliable approach for integrated analysis of phenotypic parameters that uses an artificial intelligence algorithm to indicate organoid vitality. This method enables precise evaluation of organoid status in biomedical studies and monitoring of living biobanks.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • dna damage
  • endothelial cells
  • oxidative stress