AI for clinical trials in oncology

In this perspective, we summarize recent developments in artificial intelligence (AI) applications for oncology clinical trials, divided into four key areas: (1) AI-driven drug design; (2) trial risk assessment, or predicting whether a novel therapy candidate will be safe and efficacious; (3) trial matching—that is, retrieval of reasonable trial options for specific patients, or patients for specific trials; and (4) trial eligibility screening or pre-screening, given a candidate patient–trial match.