# Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)

Source: https://welltoldgrants.com/grants/rfa-ag-23-033-transformative-artificial-intelligence-and-machine-learning/  
Official notice: https://www.grants.gov/search-results-detail/341351

> National Institutes of Health offered grants of up to $350,000 to nonprofits, colleges and universities, state and local governments, tribes, small businesses and businesses. Applications closed on November 23, 2022.

| Field | Value |
|---|---|
| Opportunity number | RFA-AG-23-033 |
| Agency | National Institutes of Health |
| Status | Forecast |
| Deadline | November 23, 2022 |
| Award ceiling | $350,000 |
| Award floor | not stated |
| Expected awards | not stated |
| Total funding | not stated |
| Cost sharing | not required |
| Assistance Listings | 93.866 |

## Who can apply

- 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)

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.

## What the grant funds

This Funding Opportunity Announcement (FOA) invites applications seeking 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. The investigative team(s) for this FOA is/are expected to be multi-disciplinary, encompassing expertise in AI/ML and a variety of disciplines, including, but not limited to, aging biology, comparative biology, and bio/chemo informatics. This FOA utilizes the National Institutes of Health's Phased Innovation Award (R21/R33) funding mechanism. During the R21 phase, investigative teams will design and develop intelligent and innovative algorithms and novel AI/ML based computational strategies. During the R33 phase, teams will apply the developed AI/ML tools to complex, heterogenous multi-omic data sets from exceptional healthy aging human cohorts and non-human species to discover novel protective molecular factors that influence EL, and to develop translational strategies on omic based therapeutic target(s) to prevent, or delay, age-related diseases, including Alzheimers disease (AD) and AD-related dementia (ADRD), and enhance human health span.

## Questions people ask

### Is RFA-AG-23-033 still open?

No. It closed on November 23, 2022.

### Who can apply for Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)?

National Institutes of Health accepted applications from nonprofits, colleges and universities, state and local governments, tribes, small businesses and businesses. The notice adds further conditions, so read its eligibility section.

### What is the deadline for Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)?

Closed November 23, 2022. Applications are no longer accepted; the program's newer notices are on this page when there are any.

### How much funding is available?

Awards of up to $350,000 each.

### Who has been funded under RFA-AG-23-033?

NIH RePORTER lists 9 projects funded under RFA-AG-23-033 in fiscal 2023 to 2026, at 5 institutions. The most were at Cleveland Clinic Lerner Com-Cwru, Jackson Laboratory, Washington University.

### Who has won Aging Research grants before?

The largest recipients over five fiscal years were The Regents of the University of California, San Francisco, The Trustees of Columbia University in the City of New York, University of Southern California. The program made 11,026 awards worth $19 billion in that time.