De-risking drug discovery with predictive AI
Broad Institute
JULY 17, 2024
Together, the tools estimate how a drug may impact diverse outcomes of interest to drug developers: general cellular health, pharmacokinetics, and heart and liver function. Seal used these FDA-curated lists as training data for two toxicity-predicting machine learning models: one for cardiotoxicity and one for liver injury.
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