Harnessing AI to tailor genotype-based diets: Impact on metabolic health and gut microbiome
Abstract
This work integrates gut microbiome and genomic data to maximize metabolic health outcomes, so investigating the possibilities of personalized nutrition driven by artificial intelligence. To create individualized dietary recommendations, a machine learning model was created combining genomic data (single nucleotide polymorphisms linked to metabolic pathways) with microbiome composition data (16S rRNA sequencing). 120 people participated in a randomized controlled trial (RCT), split into an AI-driven personalized diet group and a control group getting standard dietary recommendations. Measuring using HOMA-IR, the AI-driven diet group showed a 25% increase in insulin sensitivity over a 12-week period compared to a 10% improvement in the control group (p
Fields of Study & Subjects
Nutrition
Genetics
and Disease
Gut microbiota and health
Nutritional Studies and Diet
Publication details
- Journal / source
- Journal of Advances in Microbiology Research
- Volume
- 7
- Issue
- 3
- Pages
- 01–09
- Publication date
- 1 March 2026
- Language
- EN