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A research paper integrates H&E-based deep learning recurrence risk heatmaps with mass spectrometry spatial proteomics to identify intratumoral molecular niches associated with recurrence in triple-negative breast cancer, achieving strong predictive performance and revealing distinct mitotic vs. immune programs.