Explainable AI could make breast cancer drug predictions safer and clearer
 

AI-driven genomic analysis could help researchers identify existing drugs that may be repurposed for subtype-specific breast cancer treatment. The review proposes an interpretability-driven framework that links multi-omics data, mechanistic validation, and clinical translation to make AI predictions more transparent and clinically useful.

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