Hence, in this study, we developed a weakly-supervised deep learning model using a clustering-constrained-attention multiple-instance learning (CLAM) framework to predict HER2 status from routine H&E-stained slides of bladder cancer from an RHWU cohort and attempted to identify new histopathological features. This evidence concerns the gene ERBB2 and urinary bladder cancer.