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On the Utility of ToxCast-Based Predictive Models to Evaluate Potential Metabolic Disruption by Environmental Chemicals.

Dayne L FilerKate HoffmanRobert M SargisLeonardo TrasandeChristopher D Kassotis
Published in: Environmental health perspectives (2022)
Using the most recent ToxCast data and an updated ToxPi model, we found ToxCast performed similarly to that of our own 3T3-L1 testing in predicting consensus calls. Furthermore, we provide the full ranked list of largely untested chemicals with ToxPi scores that predict adipogenic activity and that require further investigation. https://doi.org/10.1289/EHP6779.
Keyphrases
  • human health
  • electronic health record
  • big data
  • risk assessment
  • clinical practice
  • machine learning
  • artificial intelligence