HealthcareMachine Learning3 min reading time

AI model predicts which breast-cancer drugs work best

Nature
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Researchers developed an AI-driven virtual cell model that predicts effective drugs for triple-negative breast cancer by analyzing tumor cell proteomics. The model was trained on extensive protein data from breast cancer cell lines treated with FDA-approved drugs, showing promise for personalized treatment.

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Development of an automated method for audiometric data extraction and analysis using voting optical character recognition

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