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Illinois Tech announced as registration partner in NIH AI precision


CHICAGO—May 26, 2023—Illinois Institute of Technology was one of 14 institutions selected for registration for the National Institutes of Health’s landmark initiative to advance nutrition research. Nutrition for Precision Health (NPH), supported by We all Research Program, working to engage 10,000 participants from diverse backgrounds across the United States with the goal of studying how our bodies respond differently to food.

CHICAGO—May 26, 2023—Illinois Institute of Technology was one of 14 institutions selected for registration for the National Institutes of Health’s landmark initiative to advance nutrition research. Nutrition for Precision Health (NPH), supported by We all Research Program, working to engage 10,000 participants from diverse backgrounds across the United States with the goal of studying how our bodies respond differently to food.

NPH will use an artificial intelligence-based approach to analyze information provided by participants to develop algorithms that predict response to dietary patterns. The study’s findings may one day allow healthcare providers to offer more tailored nutritional guidance to improve overall health.

“Poor diet is one of the leading causes of preventable disease and death worldwide. If everyone followed the guidelines for healthy eating that we have today, we may still not achieve optimal health because our bodies respond to food differently,” says Holly Nicastro, Ph.D., MPH, NPH coordinator. “Through this research, we want to better understand differences in individual responses and pave the way for more tailored guidance in the future.”

Illinois Tech, in partnership with Northwestern University and the University of Chicago, will leverage the existing Illinois Precision Medicine Consortium (IPMC) to help We all Research Program participants joined the investigation into specific elements of a typical dietary pattern after assessing people’s usual eating patterns and their body’s response to a standard food challenge. Comprehensive analysis of an individual’s blood, urine, and gut microbiome under different diets—along with factors including genes, lifestyle, health history, and social health determinants—will provide incredibly rich data that will allow AI predictive models to make personalized dietary recommendations to reduce public health issues such as obesity, blood pressure control, diabetes, and more.

“We are excited to be part of this revolutionary project that leverages cutting-edge analytical and computational technologies and engages diverse communities in the scientific process,” said Britt Burton-Freeman, Professor and director of the Center for Nutrition Research and chair of the Illinois Department of Food Science and Nutrition Technology. “There is no ‘one-size-fits-all’ diet, and through this research, we hope to gain insights that will lead to more personalized dietary guidance, empowering individuals to make food and nutritional choices that best suit their health and well-being. ”

To participate in NPH, individuals must be 18 years of age or older and must register or are already registered with the NIH’s We all Research Program(link is outside). We all is an effort that aims to engage at least 1 million participants in building a health database that reflects the diversity of the US, to help accelerate medical research and enable individualized prevention, treatment, and care choices.

The NPH study consists of three components. All study participants will participate in the first component, while a subset will take part in the other two components. In the first component of the study, participants will be asked to complete a survey, report their daily diet, and provide blood, urine, and stool samples for laboratory tests, including microbiome analysis. In the second component, some participants will be given a diet chosen by the researchers. In the third component, participants will also be provided with a diet chosen by the researcher but will be asked to stay at the research center for the duration of the diet. Participants from all three components of the study will participate in a food challenge test that measures biological changes after they consume a standardized food or drink provided by the study. Participants will receive research interpreted information about their health, including body fat percentage, microbiome makeup, metabolism, and diet composition.

NPH will link participant data from the study to information obtained through We all Research Program, including genetic information and data from electronic health records and supplementary surveys. The study will leverage advances in AI to analyze large amounts of data from participants to develop algorithms that predict how a person will respond to a particular food or diet based on a variety of factors. All of this data will eventually be accessible via We all’ data platform, Research Desk (external link), to support many other studies on health and disease. Strict security is implemented to maintain data security and protect participant privacy.

“Nutrition is probably one of the most powerful medicines we have, but it’s one of the least understood,” says Geoffrey Ginsburg, MD, Ph.D., We all’ chief medical and scientific officer. “By pressing to We all infrastructure and platform, NPH will be segregated from other nutrition studies based on its scale and diversity. The value of NPH will be strengthened by the research community as new types of data become widely available on the Research Desk to explore and advance our understanding of nutrition and health.”

To learn more about NPH and how to enter into this study, please visit nutritionforprecisionhealth.org.

The work described here is endorsed by National Institutes of Health award #1 UG1 HD107697-01.

“All of Us” and “Nutrition for Precision Health, supported by the Us All Research Program” are service marks of the US Department of Health & Human Services (HHS).




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