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The molecular complexity of cancer presents significant challenges to traditional therapeutic approaches, necessitating the development of innovative treatment strategies capable of addressing the disease's dynamic nature and resistance mechanisms. Data-driven methodologies, particularly those employing Artificial Intelligence (AI), hold substantial promise by advancing a comprehensive understanding of the intricate molecular and cellular mechanisms underlying cancer and supporting the development of adaptive, patient-specific therapeutic strategies. Initiated through the Mertelsmann Foundation, the Collaborative Research Institute Intelligent Oncology (CRIION) in Freiburg im Breisgau, Germany, aims to drive progress in AI-driven oncology. CRIION fosters global collaboration through initiatives like the Intelligent Oncology Symposium and supports multidisciplinary projects designed to integrate AI innovations into clinical workflows.
Kalweit et al. (2025) studied this question.