The NIH Common Fund is offering this grant to establish an Artificial Intelligence for Multimodal Data Modeling and Bioinformatics (AIMDMB) Center. This grant is for advancing precision nutrition research. The Center will develop AI-driven tools and algorithms to predict individual responses to foods and dietary patterns. It will create robust informatics platforms for integrating and analyzing multimodal data from the Nutrition for Precision Health consortium. Serving as an ‘AI-ready’ biomedical data hub, the Center will contribute to a large dietary intervention study. The goal is to produce a data resource and algorithms for personalized nutrition advice, improving health outcomes.
Opportunity ID: 331058
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-RM-21-001 |
| Funding Opportunity Title: | 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) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.310 — Trans-NIH Research Support |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jan 21, 2021 |
| Last Updated Date: | Jan 21, 2021 |
| Original Closing Date for Applications: | Apr 06, 2021 |
| Current Closing Date for Applications: | Apr 06, 2021 |
| Archive Date: | May 12, 2021 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Public and State controlled institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) For profit organizations other than small businesses County governments City or township governments Public housing authorities/Indian housing authorities Independent school districts Native American tribal organizations (other than Federally recognized tribal governments) Private institutions of higher education Native American tribal governments (Federally recognized) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education State governments Special district governments Small businesses |
| Additional Information on Eligibility: | 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| 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. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-21-001.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NIH OER Webmaster FBOWebmaster@OD.NIH.GOV Email: FBOWebmaster@OD.NIH.GOV |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-F | Use for due dates on or after May 25, 2020 | PKG00265112 | Mar 05, 2021 | Apr 06, 2021 | View |
Package 1
Mandatory forms
331058 RR_SF424_2_0-2.0.pdf
331058 PHS398_CoverPageSupplement_5_0-5.0.pdf
331058 RR_OtherProjectInfo_1_4-1.4.pdf
331058 PerformanceSite_2_0-2.0.pdf
331058 RR_KeyPersonExpanded_2_0-2.0.pdf
331058 PHS398_ResearchPlan_4_0-4.0.pdf
331058 PHSHumanSubjectsAndClinicalTrialsInfo_2_0-2.0.pdf
Optional forms
331058 PHS_Additional_IndirectCosts-1.0.pdf
331058 PHS_AssignmentRequestForm_3_0-3.0.pdf
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