Satiation variability prediction using AI for obesity treatment
Meal size and termination is regulated by a process called satiation, which varies widely among adults with obesity.
The researchers assessed calories to satiation (CTS) and integrated a machine learning genetic risk score (CTSGRS) to predict obesity treatment outcomes.
High CTS or CTSGRS identified individuals who responded better to phentermine-topiramate, whereas low CTS or CTSGRS predicted greater weight loss with liraglutide, highlighting personalized obesity therapy.
https://www.cell.com/cell-metabolism/fulltext/S1550-4131(25)00264-5
