AI in multi-omics analysis in cancer

The reports of lung, breast, colorectal, and prostate cancers show increasing global prevalence. Cancer recurrence and drug resistance are open challenges in these fields. Different multi-omics integration approaches have been applied in cancer type sub-classification and prediction of patient survival and recurrence. Artificial intelligence (AI)-based, as well as statistical and other approaches, are used for multi-omics analyses, specifically for integrating multi-omics data in cancer. This chapter discusses multi-omics resources available for reanalyzing cancer data and for developing AI-based prediction models. Different aspects of multi-omics integration studies of major cancers are also discussed in this chapter. Overall, these studies focused on disease subtype classification, risk assessment, cancer recurrence, survivability, and several other aspects.