Dr. Eric Ravussin, PhD

Personalized Nutrition

for Health Optimization

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.