Abstract
Deep-learning Artificial Intelligence (AI) has reshaped cancer research as well as the development of personalized clinical care. Advances in high-performance computing and the development of novel and innovative deep-learning architectures have led to a paradigm shift – dramatically affecting all aspects of oncology research, including the detection and classification of cancer, the molecular characterization of tumors, and their microenvironment, drug discovery (and in some cases and repurposing of old drugs or drugs used in different therapeutic areas), to the prediction of treatment outcomes.