This thesis aims to provide a methodological study in prognosis prediction for colorectal tumor, considering different types of biological data. Precisely, I will predict through survival analysis the overall survival risk, which is strictly related to the expected lifetime of cancer patients. The different types of data are histopathological images, miRNA, gene expression, methylation and clinical data. All these data are appropriately selected for the task from the TCGA-COAD project in the GDC databases. The thesis is devoted to developing an optimized framework for survival prediction in colorectal cancer patients. The focus is centred on the integration of omics data and histopathology images.