This grant, utilizing the NIH Phased Innovation Award mechanism (R21/R33), is for developing novel transformative artificial intelligence and machine learning (AI/ML) strategies. The purpose is to apply computer automation to integrate, extract, and interpret extensive multi-omic datasets. These datasets, encompassing genome, epigenome, proteome, and metabolome, will be sourced from human exceptional longevity cohorts and various non-human species exhibiting wide lifespan variations. The initiative aims to decipher the intricate relationships among DNA, RNA, proteins, metabolites, and other cellular variables. Ultimately, this research seeks to link these findings to disease risks and the mechanisms underlying exceptionally healthy aging, uncovering critical determinants of extended health and longevity.
Opportunity ID: 334571
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-22-022 |
| Funding Opportunity Title: | Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.866 — Aging Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jul 06, 2021 |
| Last Updated Date: | Jul 06, 2021 |
| Original Closing Date for Applications: | Oct 28, 2021 |
| Current Closing Date for Applications: | Oct 28, 2021 |
| Archive Date: | Dec 03, 2021 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | County governments Independent school districts Private institutions of higher education Special district governments State governments Small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) Public and State controlled institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) 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 For profit organizations other than small businesses City or township governments Public housing authorities/Indian housing authorities Native American tribal governments (Federally recognized) |
| 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: | This Funding Opportunity Announcement (FOA) will use the NIH Phased Innovation Award mechanism ((R21/R33) to develop novel transformative artificial intelligence/machine learning (AI/ML) strategies and computer automation to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display wide variation in life span and decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-AG-22-022.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
grantsinfo@nih.gov Email:grantsinfo@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 grantsinfo@nih.gov Email: grantsinfo@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 before January 24, 2022 | PKG00268075 | Sep 28, 2021 | Jan 24, 2022 | View |
Package 1
Mandatory forms
334571 RR_SF424_2_0-2.0.pdf
334571 PHS398_CoverPageSupplement_5_0-5.0.pdf
334571 RR_OtherProjectInfo_1_4-1.4.pdf
334571 PerformanceSite_2_0-2.0.pdf
334571 RR_KeyPersonExpanded_2_0-2.0.pdf
334571 RR_Budget_1_4-1.4.pdf
334571 PHS398_ResearchPlan_4_0-4.0.pdf
334571 PHSHumanSubjectsAndClinicalTrialsInfo_2_0-2.0.pdf
Optional forms
334571 RR_SubawardBudget30_1_4-1.4.pdf
334571 PHS_AssignmentRequestForm_3_0-3.0.pdf
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