The automated breast cancer detection framework accurately distinguished normal and malignant glands with 98.4% accuracy, identifying five biomarkers (PR, ER, androgen receptor (AR), GATA3, PD-L1) to be associated with prolonged overall survival (p ≤ 0.0095 each) showing strong prognostic relevance (p < 0.0001) and being an independent risk factor in multivariate analysis (p = 0.0034) [123]. The gene discussed is CD274; the disease is breast cancer.