Personalized Nutrition (PN) is a scientific approach to developing comprehensive and dynamic nutritional recommendations based on a wide array of variables including genetics, dietary habits, metabolic patterns, health status, socioeconomic and psychosocial characteristics, food environments, physical activity, and the microbiome.
More simply put, PN is the response to the question: What should I eat to be healthy? Thus, PN represents an advancement on traditional dietary advice and early personalized approaches such as nutritional genomics, recognizing that what is healthful for one individual is not the same for another, and understanding that health and dietary responses change across time.
Overview
Co-Chair: Dr. Bibiana Garcia-Jackson, General Mills
Faculty Advisor: Dr. Eileen Kennedy
Digital and connective devices permeate our everyday lives and have potential to be powerful tools for monitoring and diagnosing health and nutrition-related conditions. However, most digital apps lack “stickiness” (they are used for a short period of time and then discarded) and what diagnostic tools do exist are scientifically early and often underfunded. This group explores questions around how to “crack the code on personalization” and get/keep consumers using digital apps for health and nutrition monitoring and how to bolster diagnostic science to make it more accurate and readily available.
Outputs
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- White Paper: Precision Nutrition: Maintaining scientific integrity while realizing market potential, Frontiers of Nutrition, September 2022
- Literature Review: Market Opportunities in Precision Nutrition, Yuchen He and Jessie Lan, 2021
- Timeline of the History of Precision Nutrition, Yuchen He and Jessie Lan, 2021