| Funding Opportunity ID: | 334571 | | Opportunity Number: | RFA-AG-22-022 | | 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: | | | CFDA Number(s): | 93.866 | | Eligible Applicants: | State governments
County governments
City or township governments
Special district governments
Independent school districts
Public and State controlled institutions of higher education
Native American tribal governments (Federally recognized)
Public housing authorities/Indian housing authorities
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
Private institutions of higher education
For profit organizations other than small businesses
Small businesses
Others (see text field entitled “Additional Information on Eligibility” for clarification) | | 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. | | Agency Code: | HHS-NIH11 | | Agency Name: | Department of Health and Human Services
National Institutes of Health | | Posted Date: | Jul 06, 2021 | | Close Date: | Oct 28, 2021 | | Last Updated Date: | Jul 06, 2021 | | Award Ceiling: | $0 | | Award Floor: | $0 | | Estimated Total Program Funding: | | | Expected Number of Awards: | | | 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. | | Version: | 1 |
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