Research is being conducted to inform immunotherapy using multi-omics driven machine learning. This involves using computational modeling and artificial intelligence to better understand and predict responses to immunotherapy, particularly in various types of cancer. Studies are exploring the use of multi-omics integration, biomarker prediction, and explainable deep learning approaches to advance immunotherapy development.