

Euan Ashley is Chair of the Stanford School of Medicine, the Roger And Joelle Burnell Professor of Genomics and Precision Health, and a professor of medicine, of genetics, and of biomedical data science. Ashley’s research group is focused on the science of precision medicine. In 2010, he led the team that carried out the first clinical interpretation of a human genome. In 2023, he published the book “The Genome Odyssey: Medical Mysteries and the Incredible Quest to Solve Them.”
Svexa’s Co-Founder, Chair of the Board and Chair of Stanford Medicine Prof. Euan Ashley, M.B., Ch.B., D.Phil. and svexa Co-Founder, CEO Mikael Mattsson PhD were part of the team who contributed to an interesting new scientific article that shows athletes actually prefer the coaching messages from a trained AI vs a human coach.
The full article is title “Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity Coaching”, and was published in medRxiv on 21st February.
Personalized, smartphone-based coaching improves physical activity but relies on static, human-crafted messages. The research introduced My Heart Counts (MHC)-Coach, a large language model fine-tuned on the Transtheoretical Model of Change. MHC-Coach generates messages tailored to an individual’s psychology (their “stage of change”), providing personalized support to foster long-term physical activity behavior change. To evaluate MHC-Coach’s efficacy, 632 participants compared human-expert and MHC-Coach text-based interventions encouraging physical activity. Among messages matched to an individual’s stage of change, 68% preferred MHC-Coach-generated messages. Blinded behavioral science experts rated MHC-Coach messages higher than human-expert messages for perceived effectiveness at 4.4 vs. 2.8.