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Pathological features from 1133 TCGA\u2010BRCA slides were extracted via ResNet50 and Lasso. Radiomics features from 137 MRI images (TCIA) were analyzed using pyradiomics. Immunoscore was calculated via ESTIMATE. A nomogram was constructed and validated with 10\u2010fold cross\u2010validation. The pathomics model achieved an AUC of 0.65 (95% CI: 0.61\u20130.68), sensitivity 0.62, specificity 0.67; radiomics 0.61 (95% CI: 0.50\u20130.72), sensitivity 0.59, specificity 0.63; and the combined nomogram 0.69 (95% CI: 0.59\u20130.79), sensitivity 0.66, specificity 0.71. Radiomics score was the strongest predictor. 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