Cancer Summit

Oncology Artificial Intelligence for Drug Discovery and Clinical Decision Support

Artificial intelligence (AI) is increasingly transforming oncology by accelerating drug discovery, optimizing clinical decision-making, and improving patient outcomes through data-driven precision medicine. AI algorithms analyze large-scale genomic, proteomic, and clinical datasets to identify novel therapeutic targets, predict drug efficacy, and optimize combination therapies, significantly reducing development timelines and costs. In clinical practice, AI-powered decision support systems assist oncologists in treatment selection by integrating patient-specific molecular profiles, imaging data, and historical outcomes to recommend personalized therapeutic strategies. Predictive models can forecast tumor progression, therapy response, and potential adverse effects, enabling proactive intervention and risk mitigation. AI applications also extend to virtual clinical trials, real-world evidence analysis, and drug repurposing, enhancing efficiency and expanding access to innovative therapies. Integration with imaging modalities through radiomics and digital pathology enables earlier detection, accurate staging, and monitoring of treatment response with greater precision. Despite its potential, challenges remain regarding data privacy, algorithm transparency, regulatory compliance, and clinical validation to ensure safe and equitable adoption. This session will explore the latest advancements in AI-driven oncology, applications in drug discovery, clinical decision support, and translational research, highlighting how AI is shaping the future of personalized, efficient, and effective cancer care.