AI Predicts Drug Toxicity

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Drug design

Phys Org

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De-risking drug discovery with predictive AI

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91% Informative

Researchers at the Broad Institute of MIT and Harvard have developed AI models that can screen the potential biological effects of drugs before they enter a living organism.

The tools estimate how a drug may impact diverse outcomes of interest to drug developers: cellular health, pharmacokinetics, and heart and liver function.

"We're looking forward to hearing people's feedback on using BioMorph for their individual test cases," says Seal .

"From pixels to phenotypes: Integrating image-based profiling with cell health data improves interpretability," he says.

"BioMorph features are the first public classifiers for FDA Drug-Induced Cardiotoxicity Rank ".

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