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What this study is

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.

What's being tested

  • Dietary Intervention

    Intervention · OTHER

    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.

Study details

Sponsor
Zoe Global Limited
Conditions
Diabetes · Heart Diseases · Diet Habit · Diet Modification · Healthy · Obesity · Metabolism · Microbial Colonization
Enrolling
250,000 people
Starts
2020-07-20
Est. completion
2030-01-01
Design
Open-label, single group
Record
View on ClinicalTrials.gov ↗