AIMC Topic: Teratogenesis
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Machine learning on drug-specific data to predict small molecule teratogenicity.
Reproductive toxicology (Elmsford, N.Y.)
May 16, 2020
Pregnant women are an especially vulnerable population, given the sensitivity of a developing fetus to chemical exposures. However, prescribing behavior for the gravid patient is guided on limited human data and conflicting cases of adverse outcomes ...
Machine Learning to Predict Teratogenicity: Theory and Practice.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2024
Machine learning (ML) is a subfield of artificial intelligence (AI) that consists of developing algorithms that can automatically learn patterns and relationships from data, without being explicitly programmed. It continues to advance with the develo...
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