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A new federally funded study will use machine learning to predict an individual's response to a given diet, allowing doctors to personalize nutritional prescriptions for patients to improve health and treat chronic diseases
"Food is at the center of health and disease
Dr Leanne Redman, associate executive director of biomedical science education at Pennington, said: "What we need is precision, the ability to prescribe diet based on factors unique to each individual, such as their genes, metabolism, physiology, behavior, and even the microbes in their body.
The Nutrition for Precision Health, supported by the All of Us Research Program, will develop an unprecedented algorithm to predict how individuals will respond to food and eating habits
As one of six clinical centers in the United States, Pennington Biomedical, in partnership with LSU Health New Orleans and the National Institute of Diabetes and Digestive and Kidney disease phoenix, plans to enroll more than 2,000 participants across three study modules
Scientists at the six clinical research centers will follow 10,000 participants to eat their daily diet
The researchers will measure blood sugar levels and biomarkers of cardiometabolic health, such as insulin resistance, blood pressure and lipids
"Precision health nutrition brings us one step closer to precision medicine
NIH awarded $170 million over five years to fund the Nutrition for Precision Health program
NPH is managed by the NIH mutual fund
