Prediction of clinicopathological features, multi-omics events and prognosis based on digital pathology and deep learning in HR + /HER2 - breast cancer.

Using a deep-learning-based workflow, we developed models to predict the clinicopathological features, multi-omics features and prognosis of patients with HR/HER2 breast cancer using pathological WSIs. This work may contribute to efficient patient stratification to promote the personalized management of HR/HER2 breast cancer.