Marc Raynaud is a researcher and methodologist specializing in artificial intelligence applied to medicine. His research focuses on developing diagnostic and prognostic prediction models for clinical outcomes in organ recipients. Currently, Marc Raynaud is advancing innovative strategies to integrate Large Language Models into medical research and practice. He is also developing Meta Science approach to organ transplantation, offering a holistic perspective on risk of bias, research themes, clinical practices, transparency, and quality. Marc Raynaud defended his Master’s degree in Mathematics in 2017 and his PhD in Epidemiology in 2021.