AI-based augmentation of oncology clinical trials

A comprehensive review in Nature Reviews Clinical Oncology examines how artificial intelligence can be applied across the entire lifecycle of oncology clinical trials to reduce their historically high failure rates and improve generalizability of results. The authors identify AI opportunities spanning trial design, patient selection, endpoint optimization, and operational efficiency, while also cataloguing key barriers to routine clinical deployment. The review highlights that both the biological complexity of cancer and operational inefficiencies contribute to current attrition, positioning AI as a cross-cutting solution rather than a point fix.