Grants / Department of Health and Human Services / National Institutes of Health

RFA-AG-23-033: Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)

Closed Closed November 23, 2022 Opportunity RFA-AG-23-033 ☆ Save

This grant is closed. Who won this program's grants before is below, and similar open grants are at the end of the page. It is in our archive of National Institutes of Health notices from 2022.

• Award ceiling$350,000
• Cost sharingNot required
• Funding typeGrant

Key dates

Who can apply

This opportunity was open to nonprofits, colleges and universities, state and local governments, tribes, small businesses and businesses.

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.

More grants for nonprofits, colleges and universities, state and local governments, tribes, small businesses, businesses.

Is this a realistic fit?

• Projects NIH funded under this notice had a median yearly award of $551,986; it allows up to $350,000 per award.
• Most of the program's money (73% over five years) went to colleges and universities.
• No cost sharing or match is required.

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.

Category: Health.

Applying now

This notice no longer takes applications. Agencies often post the same opportunity again under a new number, so check the program's notices on Grants.gov and the similar open grants below.

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