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VisitWhich institution will contribute most to the Nutrition for Precision Health study outcomes by end of 2025?
Pennington Biomedical Research Center • 25%
LSU Health New Orleans • 25%
Another institution • 25%
Equal contribution • 25%
NIH reports or acknowledgments in publications
NIH Launches 'Nutrition for Precision Health' Study with AI to Personalize Dietary Guidance Nationwide
Nov 25, 2024, 07:08 PM
The National Institutes of Health (NIH) is initiating a groundbreaking study titled 'Nutrition for Precision Health,' aimed at providing personalized nutrition guidance to Americans. This innovative research, part of the All of Us Research Program, seeks to understand how individual responses to food vary among people. By leveraging artificial intelligence, the study will explore precision nutrition and the potential for repurposing existing drugs. The initiative is designed to engage participants nationwide, with significant involvement from Pennington Biomedical Research Center and LSU Health New Orleans. The study's findings are expected to transform nutrition research and inform dietary recommendations tailored to individual needs.
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Harvard University • 25%
Oxford University • 25%
Johns Hopkins University • 25%
Other • 25%
New partnership with WHO • 25%
New partnership with CDC • 25%
New partnership with private health organizations • 25%
No significant new partnerships • 25%
Increased funding for infectious disease research • 25%
Increased funding for chronic disease research • 25%
Increased funding for mental health research • 25%
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Obesity • 25%
Cardiovascular disease • 25%
Mental health disorders • 25%
Cancer • 25%
Wellcome Trust • 25%
Chan Zuckerberg Initiative • 25%
National Institutes of Health • 25%
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ADHD • 25%
Schizophrenia • 25%
Bipolar Disorder • 25%
Parkinson’s Disease • 25%
Pandemic Preparedness • 25%
Chronic Disease Research • 25%
Mental Health Initiatives • 25%
Other • 25%
University of Michigan • 25%
EPFL • 25%
MIT • 25%
Other • 25%
Stanford University • 25%
Harvard University • 25%
University of California, San Francisco • 25%
Other • 25%
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No • 50%
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No • 50%
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Lifestyle factors • 25%
Other factors • 25%
Genetic factors • 25%
Microbiome composition • 25%