The National Institute on Aging is offering a grant for projects utilizing Artificial Intelligence, Machine Learning, and Deep Learning to analyze genetic and phenotypic data to identify gene mutations contributing to Alzheimer’s disease and related dementias. Researchers will leverage existing genetic, genomic, and biomarker data to uncover insights into the risk factors and protective mechanisms associated with Alzheimer’s disease. Applications for this grant must focus on innovative cognitive systems approaches that advance our understanding of the genetic underpinnings of Alzheimer’s disease. Closing date for submissions is September 7, 2022.
Opportunity ID: 315634
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PAR-19-269 |
| Funding Opportunity Title: | Cognitive Systems Analysis of Alzheimer’s Disease Genetic and Phenotypic Data (U01 Clinical Trial Not Allowed) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| 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: | May 06, 2019 |
| Last Updated Date: | May 06, 2019 |
| Original Closing Date for Applications: | Sep 07, 2022 |
| Current Closing Date for Applications: | Sep 07, 2022 |
| Archive Date: | Oct 13, 2022 |
| Estimated Total Program Funding: | $4,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Independent school districts County governments Private institutions of higher education For profit organizations other than small businesses Small businesses Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) State governments Public housing authorities/Indian housing authorities City or township governments Special district governments Native American tribal governments (Federally recognized) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education |
| 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | This Funding Opportunity Announcement (FOA) invites applications that propose Artificial Intelligence (AI), Machine Learning (ML), and/or Deep Learning (DL) approaches, collectively referred to here as “cognitive systems,” that lead to the identification of gene mutations/variants that cause or contribute to the risk of or protection against the development of Alzheimers disease (AD) and Alzheimer’s disease related dementias (ADRD) via analysis of a variety of genetic, genomic, and biomarker data that are currently available to the research community. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/pa-files/PAR-19-269.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Folder 315634 Full Announcement-PAR-19-269 -> PAR-19-269-Full-Announcement.pdf
Packages
| Agency Contact Information: | NIH OER Webmaster FBOWebmaster@OD.NIH.GOV Email: FBOWebmaster@OD.NIH.GOV |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-E | Use for due dates on or before May 24, 2020 | PKG00250741 | Sep 05, 2019 | May 24, 2020 | View | |
| FORMS-F | Use for due dates on or before January 24, 2022 | PKG00259473 | Sep 05, 2019 | Jan 24, 2022 | View | |
| FORMS-G | Use for due dates on or after January 25, 2022 | PKG00270395 | Nov 18, 2021 | Sep 07, 2022 | View |
Package 1
Mandatory forms
315634 RR_SF424_2_0-2.0.pdf
315634 PHS398_CoverPageSupplement_4_0-4.0.pdf
315634 RR_OtherProjectInfo_1_4-1.4.pdf
315634 PerformanceSite_2_0-2.0.pdf
315634 RR_KeyPersonExpanded_2_0-2.0.pdf
315634 PHS398_ResearchPlan_4_0-4.0.pdf
Optional forms
315634 RR_Budget_1_4-1.4.pdf
315634 RR_SubawardBudget30_1_4-1.4.pdf
315634 PHS398_ModularBudget_1_2-1.2.pdf
315634 PHS_AssignmentRequestForm_2_0-2.0.pdf
Package 2
Mandatory forms
315634 RR_SF424_2_0-2.0.pdf
315634 PHS398_CoverPageSupplement_5_0-5.0.pdf
315634 RR_OtherProjectInfo_1_4-1.4.pdf
315634 PerformanceSite_2_0-2.0.pdf
315634 RR_KeyPersonExpanded_2_0-2.0.pdf
315634 PHS398_ResearchPlan_4_0-4.0.pdf
315634 PHSHumanSubjectsAndClinicalTrialsInfo_2_0-2.0.pdf
Optional forms
315634 RR_Budget_1_4-1.4.pdf
315634 RR_SubawardBudget30_1_4-1.4.pdf
315634 PHS398_ModularBudget_1_2-1.2.pdf
315634 PHS_AssignmentRequestForm_3_0-3.0.pdf
Package 3
Mandatory forms
315634 RR_SF424_5_0-5.0.pdf
315634 PHS398_CoverPageSupplement_5_0-5.0.pdf
315634 RR_OtherProjectInfo_1_4-1.4.pdf
315634 PerformanceSite_4_0-4.0.pdf
315634 RR_KeyPersonExpanded_4_0-4.0.pdf
315634 PHS398_ResearchPlan_4_0-4.0.pdf
315634 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
315634 RR_Budget_3_0-3.0.pdf
315634 RR_SubawardBudget30_3_0-3.0.pdf
315634 PHS398_ModularBudget_1_2-1.2.pdf
315634 PHS_AssignmentRequestForm_3_0-3.0.pdf
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