Tailored Diets for Better Glycemic Control

Personalized Nutrition: Predicting Glycemic Responses

A study involving 800 participants monitored glucose responses to meals, revealing high variability in postprandial blood glucose levels. Researchers developed a machine-learning algorithm incorporating personal and microbiome data to predict these responses accurately. Validated in a separate cohort, the algorithm-guided dietary interventions significantly lowered post-meal glucose levels and altered gut microbiota configurations. This approach highlights the potential of personalized nutrition in managing blood glucose and preventing metabolic diseases like type II diabetes.