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Brief 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.
Primary Purpose
Basic science
Study Type
Interventional
Phase
N/A

Eligibility

Gender
All
Healthy Volunteers
Yes
Minimum Age
18 Years
Maximum Age
N/A

Inclusion Criteria:

Exclusion Criteria:

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Study Stats
Protocol No.
22-5124
Category
Healthy Volunteers
Location
  • UCLA Westwood
For Providers
NCT No.
NCT05701657
For detailed technical eligibility, visit ClinicalTrials.gov.