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Ensemble learning for predicting ex vivo human placental barrier permeability.

Che-Yu ChouPinpin LinJongwoon KimShan-Shan WangChia-Chi WangChun-Wei Tung
Published in: BMC bioinformatics (2022)
In this study, the first valid predicting model for ex vivo human placental barrier permeability was developed following the OECD guideline. The model is expected to be useful for assessing the human placental barrier permeability and can be integrated with developmental toxicity prediction models for investigating the toxic effects of chemicals on the fetus.
Keyphrases
  • endothelial cells
  • induced pluripotent stem cells
  • pluripotent stem cells
  • oxidative stress
  • deep learning