Closed · RFA-RM-21-001 · CFDA 93.310 · Discretionary
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)
Federal grant opportunity posted by National Institutes of Health, cataloged on Grants.gov.
- Varies
- Award range
- Closed
- Status
- April 6, 2021
- Close date
- -
- Expected awards
The verdict
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) is a closed discretionary listing from National Institutes of Health that offered Varies by applicant. Future funding cycles may be published under the same CFDA number.
- Varies
- award range
- Closed
- application status
- 93.310
- CFDA program
Opportunity snapshot. This Grants.gov announcement - 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) - is cataloged under number RFA-RM-21-001 and tied to CFDA assistance listing 93.310, posted by National Institutes of Health. Grants.gov currently shows the opportunity as closed, first posted on January 21, 2021. The funding category is Discretionary, delivered as a cooperative agreement.
Award economics. The award range on file is Varies by applicant. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.
Deadline and action path. This opportunity closed on April 6, 2021. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.
Award Range
Varies by applicant
Close Date
April 6, 2021
Posted
January 21, 2021
Instrument
Cooperative Agreement
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' 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.
Eligibility
Grants.gov lists this opportunity under eligibility category codes 00, 01, 02, 04, 05, 06, 07, 08, 11, 12, 13, 20, 22, 23, 25. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
NIH OER Webmaster FBOWebmaster@OD.NIH.GOV
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Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
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| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |