Researchers are using deep learning-based image analysis to predict cancer biomarkers and treatment outcomes from histopathology images. This approach has been applied to various types of cancer, including breast, gastric, esophageal, lung, and colorectal cancer. The use of artificial intelligence and multimodal integration strategies is being explored for precision stratification, drug resistance prediction, and prediction of treatment responses in oncology.