Health clinical trials at UCLA

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.