1135-Drug Response Models for Personalised Cancer Therapy
Researchers have developed a machine learning methodology to predict how individual cancer patients will respond to various medications by using functional drug screening rather than relying solely on genetic data. By testing a small panel of "probing" drugs on patient-derived cell cultures, the system analyzes historical data from other cell lines to accurately forecast the effectiveness of a much larger library of treatments. This approach proved highly successful across multiple datasets, including FDA-approved drugs and clinical biopsies, often identifying potent therapies that…
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