In our review of related work in the past 5 years, we also found three other studies that used H&E WSI to predict GC subtypes.[18, 19, 20] To the best of our understanding, this study represents the inaugural attempt at employing a deep learning model for the prediction of HER2 status in gastric cancer by utilizing H&E WSI, and we will also analyze the relationship between the model results and H&E WSI morphological features. The gene discussed is ERBB2; the disease is gastric cancer.