Researchers Use AI to Predict and Explain How Drugs Impact Fibrosis Scarring
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Researchers combined human knowledge and machine learning to predict drugs against fibrosis (scarring) and understand how they work
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The goal is to design better clinical trials and identify potential side effects
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The model looks at how 13 drugs affect human fibroblasts, the cells that cause beneficial but sometimes harmful scarring
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The new "logic-based mechanistic machine learning" approach predicts both which drugs help and how they affect cells
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Additional verification is still needed, but this shows promise for discovering and understanding new medicines