Researchers have made advancements in integrating multiple fields of study, including radiomics, deep learning, transcriptomics, and metabolomics, to better understand and treat various types of cancer. This integration has shown potential for prognostic risk stratification and revealing underlying biological mechanisms in cancers such as colorectal cancer. The application of these multi-omics technologies also appears to have implications for other types of cancer, including soft-tissue sarcoma, gastrointestinal tumors, hepatocellular carcinomas, ovarian cancer, and lung cancer.