Dr. Brian Bennett, PhD

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USDA ARS Western Human Nutrition Research Center

Studies Biomarkers
Studies Healthy Habits and Diet
2 reported clinical trials
7 drugs studied

Affiliated Hospitals

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USDA, ARS, Western Human Nutrition Research Center

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USDA Western Human Nutrition Research Center

Clinical Trials Brian Bennett, PhD is currently running

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Personalized Nutrition

for Health Optimization

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.

Recruiting

1 award

N/A

4 criteria

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Diet Monitoring Through Biomarkers

for

The purpose of this research is to find a set of markers in the blood and/or urine that can be linked to consumption of specific fruits and vegetables. This will allow for better understanding of the link between diet and health-related outcomes. Furthermore, the results of this study will lead to the development of new methods to evaluate the nutritional status of individuals in both community and clinical settings. Food frequency questionnaires and diaries/recalls can be affected by intentional or unintentional misreporting, and thus can create errors in determining nutritional status. This study will lead to the development of an objective way to assess the consumption of specific fruits and vegetables by the general population.

Recruiting

1 award

N/A

More about Brian Bennett, PhD

Clinical Trial Related

2 years of experience running clinical trials · Led 2 trials as a Principal Investigator · 2 Active Clinical Trials

Treatments Brian Bennett, PhD has experience with

  • Aim 1 Meal Challenge 1
  • Aim 1 Meal Challenge 2
  • Aim 1 Meal Challenge 3
  • Aim 2 Dietary Guidelines For Americans Diet Plus Test Foods
  • Aim 2 Typical American Diet
  • Aim 2 Typical American Diet Plus Test Foods

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