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Status Recruiting

Clinical Trial Summary

The goal of this investigational study is to develop algorithms that predict human response to foods. The main question it aims to answer are: - How does varying foods and eating patterns impact one's biological and physiological responses? - In what ways can novel dietary assessment measures be used to improve dietary assessments and to prescribe assessments to people in future research with increased precision? - Can artificial intelligence and machine learning techniques be combined to prescribe foods and eating patterns to individuals for optimization of their health? There are 3 Modules participants may take part in: - Module 1- A participant's dietary intake and accompanying nutritional status, biological and other measures will be observed over 10 days, as well as physiological responses to a liquid mixed meal tolerance test will be measured. - Module 2- Participants will undergo three controlled dietary interventions provided for 14-days each and separated by washout periods of at least 14 days. Physiological responses following a diet-specific meal test will be measured. - Module 3- Participants will undergo the same three dietary interventions during the same 14 day periods as Module 2 while being studied in-residence. Physiological responses following a liquid mixed meal tolerance test and a diet-specific meal test will be measured.

Clinical Trial Description

The NPH study design includes three modules: Module 1, a study of participants' dietary intake; Module 2, a randomized crossover trial with three dietary interventions among participants in a community-dwelling setting; and Module 3, a similar trial to Module 2 except with participants in residence, all detailed in the following text. Briefly, Module 1 will observe participants for 8-10 days while consuming their usual diet. Modules 2 and 3 will include 3 dietary interventions, each administered for 14 days, followed by a washout period between each diet. The study will be conducted at multiple sites managed by 6 clinical centers throughout the United States. An interdisciplinary team of clinical nutrition research experts will evaluate dietary assessment methods, microbial metagenomics and metatranscriptomics, targeted and untargeted metabolomics, computational and data science to advance our current understanding of nutrition which will inform personalized nutrition recommendations. The resulting artificial intelligence (AI) algorithms to predict individual responses to food will provide a foundation to create customized dietary approaches to optimize short- and long-term health. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT05701657
Study type	Interventional
Source	RTI International
Contact	Carolyn P Huitema, MS
Phone	833-947-2583
Email	info@nutritionforprecisionhealth.org
Status	Recruiting
Phase	N/A
Start date	April 14, 2023
Completion date	January 31, 2027

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