Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33 Clinical Trial Not Allowed)
ArchivedNational 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.
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)
- Nonprofits with 501(c)(3) status (other than higher education)
- Nonprofits without 501(c)(3) status (other than higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Contact
NIH OER Webmaster<br/>grantsinfo@nih.gov
grantsinfo@nih.gov
- PostedJul 6, 2021
- ClosesOct 28, 2021
- CFDA93.866
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