Clinical Research Directory
Browse clinical research sites, groups, and studies.
Personalized Responses to Dietary Composition Trial 3
Sponsor: Zoe Global Limited
Summary
The PREDICT 3 study will build on previous research in over 2,000 individuals to further refine machine learning models that predict individual responses to foods, with the aim of advancing precision nutrition science and individualized dietary advice. The study incorporates both standardized and controlled dietary intervention, for the purpose of testing postprandial responses to specific mixed meals, in addition to a free-living period with a dietary record for measuring responses to a large variety of meals consumed in a realistic context, where the role of external factors (e.g. exercise, sleep, time of day) on postprandial responses may be determined. For the first time this PREDICT study is built on top of a commercial product which will allow access to a much larger group of participants who are already collecting large amounts of data through digital and biochemical devices that can contribute to science.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
250000
Start Date
2020-07-20
Completion Date
2030-01-01
Last Updated
2025-04-16
Healthy Volunteers
Yes
Conditions
Interventions
Dietary Intervention
To carry out a dietary intervention using standardized test meals, where the participant's postprandial response to the meal is measured and is used to predict their postprandial responses to other foods, along with input variables including metabolic profile, anthropometry, sleep and exercise.
Locations (2)
Zoe US Inc.
Needham, Massachusetts, United States
King's College London
London, United Kingdom