Nutrition for Precision Health, Powered by the All of Us

The goal of this Nutrition for Precision Health (NPH) powered by All of Us research study is to develop Artificial Intelligence/Machine Learning (AI/ML) algorithms that predict individual responses to diet patterns using rich multimodal data streams collected across multiple domains (e.g., behavior, social, environmental, clinical and molecular biomarkers). NPH includes a large phenotyping cohort (Module 1, N=8000) and two separate follow-up groups drawn from a subset of Module 1participants. One group (Module 2, N=1200) receives three distinct diets in a 14-day crossover sequence, with at least a 14-day washout period between diets, while living in their own homes. A second group (Module 3, N=150) receives the same three diets under full-time supervision in a residential research setting. We will train and test AI/ML models to predict 0-4 hour postprandial response curves for glucose, insulin, triglycerides, and GLP-1, to the standardized diet-specific meal test (DSMT) collected after each of the three different diets delivered in Module 2. Each diet functions as a controlled…

• Glucose - Diet Specific mixed meal tolerance test (MMTT) Diet A
• Insulin - Diet Specific mixed meal tolerance test (MMTT) Diet A
• Triglycerides - Diet Specific mixed meal tolerance test (MMTT) Diet A
• GLP-1 - Diet Specific mixed meal tolerance test (MMTT) Diet A

1. Primary completion expected

   25 Feb 2027

2. Last registry update

   13 Oct 2026

3. Started

   14 Apr 2023

4. Registered

   27 Jan 2023