Explainable AI could make breast cancer drug predictions safer and clearer

[News]

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.

More... (https://www.news-medical.net/news/20260522/Explainable-AI-could-make-breast-cancer-drug-predictions-safer-and-clearer.aspx)