OpportunityTitle: Nutrition for Precision Health, powered by the All of Us Research Program: Artificial Intelligence for Multimodal Data Modeling and Bioinformatics Center (U54 Clinical Trial Not Allowed)
AdditionalInformationOnEligibility: Other Eligible Applicants include the following:  Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are  eligible to apply.  Foreign components, as defined in the NIH Grants Policy Statement, are  allowed.
Description: The purpose of this FOA is to invite applications for the Artificial Intelligence for Multimodal Data Modeling and Bioinformatics (AIMDMB) Center to join the Nutrition for Precision Health consortium (https://commonfund.nih.gov/nutritionforprecisionhealth). Awards made through this FOA will generate actively learning algorithms to predict human response to different foods, nutrients, food components, and dietary patterns as well as advance understanding, from the individual and population level, of longitudinal dynamics from multimodal data with advanced computer modeling tools (e.g., with in silico human dietary response replicates or user-tailored, high-fidelity models that incorporate demographic, environmental, behavioral, multi-omic, social, cultural, clinical or other data to predict health trajectories).The Center will support the development of robust and artificially intelligent informatics platforms of multimodal, metadata-complete, human data sets data from the Nutrition for Precision Health consortium. The proposed Center projects will develop a suite of computational tools to perform data integration, harmonization, analysis and visualization of the multi-modal and multi-fidelity data as well as incorporate an adaptive design for future data incorporation. The proposed Center will be a hub in communicating state of the art for AI-ready&apos; biomedical data to the Nutrition for Precision Health consortium. All Nutrition for Precision Health awardees must work collaboratively to plan and execute a large dietary intervention study to catalyze precision nutrition research in transforming the application of targeted dietary approaches to improve health and reduce chronic diseases. The end products of the Nutrition for Precision Health consortium will be a rich data resource for research use and algorithms to improve the precision of nutrition advice for individuals.
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GrantorContactText: NIH OER Webmaster&lt;br/&gt;FBOWebmaster@OD.NIH.GOV