Nutrition for Precision Health, Powered by the All of Us
Public ClinicalTrials.gov record NCT05701657. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Nutrition for Precision Health, Powered by the All of Us Research Program
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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 stimulus to reveal biological features (such as individual variables, patterns, or clusters of measurements) that best predict a person's response. The Module 2 DSMT response curves are the primary outcomes (dependent variables) for AI/ML algorithms that predict individual responses to diet patterns. As a secondary objective, NPH will evaluate the validity and acceptability of technology-based dietary assessment tools. The Automated Self-Administered 24-hour recall (ASA24), Automatic Ingestion Monitor-2 (AIM-2), and the mobile food record (mFR) will be evaluated in Modules 2 and 3, and the ASA24 food record and the image-assisted ASA24 recall will be evaluated only in Module 3. Total energy intake, macronutrient and dietary fiber intake data are the main outcomes for validity testing compared against measures of actual intake. Acceptability will be determined from feedback surveys.
Study identification
- NCT ID
- NCT05701657
- Recruitment status
- Recruiting
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 8,000 participants
Conditions and interventions
Eligibility (public fields only)
- Age range
- 18 Years and older
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Apr 13, 2023
- Primary completion
- Dec 30, 2026
- Completion
- Jan 30, 2027
- Last update posted
- Jul 14, 2026
2023 – 2027
United States locations
- U.S. sites
- 14
- U.S. states
- 6
- U.S. cities
- 10
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| University of Alabama at Birmingham | Birmingham | Alabama | 35233 | Recruiting |
| University of California, Davis | Davis | California | 95616 | Recruiting |
| USDA Western Human Nutrition Research Center | Davis | California | 95616 | Recruiting |
| University of California, Los Angeles | Los Angeles | California | 90024 | Recruiting |
| Cedars Sinai Medical Center | West Hollywood | California | 90069 | Recruiting |
| Northwestern University | Chicago | Illinois | 60611 | Recruiting |
| Illinois Institute of Technology | Chicago | Illinois | 60616 | Recruiting |
| University of Chicago | Chicago | Illinois | 60637 | Recruiting |
| Pennington Biomedical Research Center | Baton Rouge | Louisiana | 70808 | Recruiting |
| Louisiana State University Health Sciences Center | New Orleans | Louisiana | 70112 | Recruiting |
| Tufts University | Boston | Massachusetts | 02111 | Recruiting |
| Massachusetts General Hospital | Boston | Massachusetts | 02114 | Recruiting |
| University of North Carolina at Chapel Hill - Chapel Hill Clinic | Chapel Hill | North Carolina | 27514 | Recruiting |
| University of North Carolina at Chapel Hill - Kannapolis | Kannapolis | North Carolina | 28081 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT05701657, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Jul 14, 2026 · Synced Sep 4, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT05701657 live on ClinicalTrials.gov.