Nutrition Science
Machine Learning Algorithms Predict Personalized Dietary Responses Based on Gut Microbiome Profiles
Silva P, Costa A, Santos M, Ferreira J
Cell Metabolism
June 2025
102 citations
We developed and validated machine learning models that predict individual glycemic responses to specific foods based on gut microbiome composition. Training on data from 800 participants, our algorithms achieved 84% accuracy in predicting postprandial glucose responses. This work advances the field of precision nutrition and demonstrates the clinical utility of microbiome-based dietary recommendations.
DOI:
10.1016/j.cmet.2023.05.018
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