Opportunity ID: 341351
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-23-033 |
| Funding 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: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.866 — Aging Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Jun 22, 2022 |
| Last Updated Date: | Nov 22, 2022 |
| Original Closing Date for Applications: | Oct 21, 2022 |
| Current Closing Date for Applications: | Nov 23, 2022 |
| Archive Date: | Dec 23, 2022 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $350,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Independent school districts For profit organizations other than small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments Small businesses City or township governments Public and State controlled institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal governments (Federally recognized) State governments Private institutions of higher education Public housing authorities/Indian housing authorities County governments Native American tribal organizations (other than Federally recognized tribal governments) |
| 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| 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. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-AG-23-033.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
OERWebmaster03@od.nih.gov Email:OERWebmaster03@od.nih.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| updated close date | Nov 22, 2022 | |
| Jun 22, 2022 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-23-033 |
| Funding 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: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.866 — Aging Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Jun 22, 2022 |
| Last Updated Date: | Nov 22, 2022 |
| Original Closing Date for Applications: | Oct 21, 2022 |
| Current Closing Date for Applications: | Nov 23, 2022 |
| Archive Date: | Dec 23, 2022 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $350,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Independent school districts For profit organizations other than small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Special district governments Small businesses City or township governments Public and State controlled institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal governments (Federally recognized) State governments Private institutions of higher education Public housing authorities/Indian housing authorities County governments Native American tribal organizations (other than Federally recognized tribal governments) |
| 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| 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. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-AG-23-033.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
OERWebmaster03@od.nih.gov Email:OERWebmaster03@od.nih.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-23-033 |
| Funding 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: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.866 — Aging Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jun 22, 2022 |
| Last Updated Date: | Jun 22, 2022 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Oct 21, 2022 |
| Archive Date: | Nov 26, 2022 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $350,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | State governments Public housing authorities/Indian housing authorities County governments Native American tribal organizations (other than Federally recognized tribal governments) Independent school districts Native American tribal governments (Federally recognized) 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 Public and State controlled institutions of higher education Private institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) Special district governments City or township governments For profit organizations other than small businesses Small businesses |
| 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| 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. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-AG-23-033.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
OERWebmaster03@od.nih.gov Email:OERWebmaster03@od.nih.gov |
Related Documents
Packages
| Agency Contact Information: | NIH OER Webmaster OERWebmaster03@od.nih.gov Email: OERWebmaster03@od.nih.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-G | Use for due dates on or after January 25, 2022 | PKG00275142 | Nov 22, 2022 | Nov 23, 2022 | View |
Package 1
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