The role of machine learning in clinical research: transforming the future of evidence generation (vol 22, 537, 2021)

Summary: This manuscript reviews a multi-stakeholder conference discussing the current and future state of using machine learning in clinical research, highlighting the potential and priority areas for ML in clinical trial design, implementation, and analysis. Conference attendees included biomedical and ML researchers, FDA representatives, AI companies, patient advocacy groups, and pharmaceutical companies, emphasizing the role of ML in clinical research and the barriers it faces, with a noted lack of peer-reviewed evidence in several areas.