Multimodal integration of bioinformatic data and digital pathology as a tool for precision oncology. Part 1. Development of prognostic models based on multi-omics data and machine learning

The article reviews current methodologies for developing prognostic models in solid tumors using bioinformatics data. Primary focus is placed on the transition from discrete genetic alteration analysis toward the synthesis of functionally related gene panels and prognostic risk scores leveraging…