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Translating a 15 mg/kg murine dose directly to humans underscores a severe translational gap in the source paper
Another commonly utilized ML framework for predicting drug response in breast cancers relates to identifying patterns of drug sensitivity and resistance via gene-expression signatures, aiding individualized therapy decisions (252, 253)
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