The research group led by Associate Professor Inoue, Professor Susan Athey of Stanford University, and Associate Professor Yusuke Tsugawa of the University of California, Los Angeles, has proposed the potential usefulness of the “high-benefit approach,” a next-generation personalized medicine strategy for hypertension treatment, by applying advanced machine learning models to the treatment of hypertension.
This research established a new concept focusing on individual treatment effects. It demonstrated its usefulness, and it is expected to become a basis for the next generation of personalized medicine applying machine learning.
Kosuke Inoue, Susan Athey, Yusuke Tsugawa (2023). Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management. International Journal of Epidemiology.
Please click on the following link for the press release and more information.
Press release: https://www.kyoto-u.ac.jp/ja/research-news/2023-04-05
Kyoto University School of Public Health: http://sph.med.kyoto-u.ac.jp/news/7016/