Machine Learning Model Predicts Drug Approval Odds Before Clinical Trials

Researchers developed a machine learning approach to predict drug approval chances before clinical trials.
They focused on discrepancies between drug effects in cells vs humans to evaluate approval chances.
The model integrated chemical properties and genetic differences between cells and humans.
It aims to reduce drug development time and expenses by predicting clinical trial outcomes.
The model analyzed gene perturbation effects and drug targets to forecast safety issues.

news-medical.net

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Posted 9/8/2023, 8:59:00 PM