Novel Subtypes and Treatment Strategies of Patients with Unresectable Combined Hepatocellular Cholangiocarcinoma Based on Multimodal Data

The study will include adult patients with histologically/cytologically confirmed unresectable CHC. Collect patient genomics, proteomics, immune microenvironment, pathology reports, medical images and clinical electronic medical records, etc., to form high-quality and deeply labeled data sets to support the subsequent development and application of AI large models. Based on multi-source heterogeneous data of CHC patients, a large model for comprehensive diagnosis and treatment was constructed. Firstly, multi-modal data of different stages of disease were integrated by using cross-modal multi-course fusion technology to achieve efficient fusion of complex data. Secondly, by fine-tuning the large model, tasks such as CHC classification, prognosis inference and treatment plan recommendation are accurately completed, and potential information in the diagnosis and treatment process is mined.