Closed · RFA-AG-23-033 · CFDA 93.866 · Discretionary

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

Federal grant opportunity posted by National Institutes of Health, cataloged on Grants.gov.

up to $350K
Award range
Closed
Status
November 23, 2022
Close date
-
Expected awards

The verdict

Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed) is a closed discretionary listing from National Institutes of Health that offered Up to $350,000. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 12,419 other opportunities from National Institutes of Health.

up to $350K
award range
Closed
application status
93.866
CFDA program
12,419
other opportunities from National Institutes of Health

Archived opportunity record

Transformative Artificial Intelligence and Ma… is closed (last close November 23, 2022). Check the agency catalog for replacement NOFOs. National Institutes of Health still indexes 12,419 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

Closed November 23, 2022

Posted Jun 22 Closes Nov 23

Instrument

Grant

Description

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.

Wide-open applicant board · 15 Grants.gov doors

Transformative Artificial Intelligence and Ma… prints 15 distinct Grants.gov eligibility doors (State governments; County governments; City or township governments; Special district governments; +11 more). Filter fit before reading award size as demand — most applicant classes appear on the row. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Health (HL). This eligibility-code string dominates the National Institutes of Health book (9,741 peers, 78% of 12,420).

Code 00
State governments
Code 01
County governments
Code 02
City or township governments
Code 04
Special district governments
Code 05
Independent school districts
Code 06
Public / state-controlled institutions of higher education
Code 07
Federally recognized tribal governments
Code 08
Public / Indian housing authorities
Code 11
Native American tribal organizations (other than Federally recognized tribal governments)
Code 12
Nonprofits with 501(c)(3) status (other than IHEs)
Code 13
Nonprofits without 501(c)(3) status (other than IHEs)
Code 20
Private institutions of higher education
Code 22
For-profit organizations other than small businesses
Code 23
Small businesses
Code 25
Others (see official listing text)

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NIH OER Webmaster OERWebmaster03@od.nih.gov

What to do next

Transformative Artificial Intelligence and Ma… is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
  • Look up CFDA 93.866 across all indexed listings before you commit to this opportunity alone. Eligibility finder
  • National Institutes of Health lists 12,419 other indexed opportunities on PlainGrants. Agency catalog

Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.

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.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants