The National Institute on Aging (NIA) is offering this grant to advance pre-clinical drug development for Alzheimer’s disease (AD) and AD-related dementias (ADRD). This grant is for researchers to apply existing or develop new artificial intelligence and machine learning (AI/ML) methods. The primary purpose is to accelerate the identification, optimization, and selection of drug candidates, thereby increasing their success rate in clinical development for AD/ADRD treatment and prevention. A key component of this program also involves creating advanced open-source AI/ML analytical tools. These tools will be made available to researchers in academia and industry, fostering more effective drug discovery campaigns for novel AD/ADRD targets.
Opportunity ID: 357463
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-24-049 |
| Funding Opportunity Title: | Artificial Intelligence in Pre-clinical Drug Development for AD/ADRD (R01 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: | Dec 02, 2024 |
| Last Updated Date: | Jan 13, 2025 |
| Original Closing Date for Applications: | Feb 13, 2025 |
| Current Closing Date for Applications: | Feb 28, 2025 |
| Archive Date: | Mar 30, 2025 |
| Estimated Total Program Funding: | $1,000,000 |
| Award Ceiling: | $1,000,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Public and State controlled institutions of higher education For profit organizations other than small businesses Independent school districts Small businesses State governments Native American tribal organizations (other than Federally recognized tribal governments) Native American tribal governments (Federally recognized) Private institutions of higher education Special district governments 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 Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education City or township governments County governments Public housing authorities/Indian housing authorities |
| 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 NOFO invites applications that apply existing or newly developed artificial intelligence and machine learning methods (AI/ML) to various aspects of drug discovery and preclinical drug development to accelerate the identification, optimization, and selection of preclinical drug candidates for the treatment and prevention of Alzheimers disease (AD) and AD-related dementias ADRD and increase their likelihood of success during clinical drug development.This program will also create advanced open-source analytical tools that will be made available to researchers in academia and biotech/pharma for more effective prosecution of AD/ADRD drug discovery campaigns for novel targets. |
| Link to Additional Information: | https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-24-049.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH Grants Information
grantsinfo@nih.gov Email:grantsinfo@nih.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| Update close date per NOT-AG-24-089. | Jan 13, 2025 | |
| Dec 02, 2024 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-24-049 |
| Funding Opportunity Title: | Artificial Intelligence in Pre-clinical Drug Development for AD/ADRD (R01 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: | Dec 02, 2024 |
| Last Updated Date: | Jan 13, 2025 |
| Original Closing Date for Applications: | Feb 13, 2025 |
| Current Closing Date for Applications: | Feb 28, 2025 |
| Archive Date: | Mar 30, 2025 |
| Estimated Total Program Funding: | $1,000,000 |
| Award Ceiling: | $1,000,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Public and State controlled institutions of higher education For profit organizations other than small businesses Independent school districts Small businesses State governments Native American tribal organizations (other than Federally recognized tribal governments) Native American tribal governments (Federally recognized) Private institutions of higher education Special district governments 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 Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education City or township governments County governments Public housing authorities/Indian housing authorities |
| 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 NOFO invites applications that apply existing or newly developed artificial intelligence and machine learning methods (AI/ML) to various aspects of drug discovery and preclinical drug development to accelerate the identification, optimization, and selection of preclinical drug candidates for the treatment and prevention of Alzheimers disease (AD) and AD-related dementias ADRD and increase their likelihood of success during clinical drug development.This program will also create advanced open-source analytical tools that will be made available to researchers in academia and biotech/pharma for more effective prosecution of AD/ADRD drug discovery campaigns for novel targets. |
| Link to Additional Information: | https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-24-049.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH Grants Information
grantsinfo@nih.gov Email:grantsinfo@nih.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-AG-24-049 |
| Funding Opportunity Title: | Artificial Intelligence in Pre-clinical Drug Development for AD/ADRD (R01 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: | Dec 02, 2024 |
| Last Updated Date: | Dec 02, 2024 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Feb 13, 2025 |
| Archive Date: | Mar 21, 2025 |
| Estimated Total Program Funding: | $1,000,000 |
| Award Ceiling: | $1,000,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | City or township governments Native American tribal governments (Federally recognized) County governments Private institutions of higher education Special district governments For profit organizations other than small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) State governments Public housing authorities/Indian housing authorities Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Small businesses Public and State controlled institutions of higher education Independent school districts Nonprofits having a 501(c)(3) status with the IRS, other than 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 NOFO invites applications that apply existing or newly developed artificial intelligence and machine learning methods (AI/ML) to various aspects of drug discovery and preclinical drug development to accelerate the identification, optimization, and selection of preclinical drug candidates for the treatment and prevention of Alzheimers disease (AD) and AD-related dementias ADRD and increase their likelihood of success during clinical drug development.This program will also create advanced open-source analytical tools that will be made available to researchers in academia and biotech/pharma for more effective prosecution of AD/ADRD drug discovery campaigns for novel targets. |
| Link to Additional Information: | https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-24-049.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH Grants Information
grantsinfo@nih.gov Email:grantsinfo@nih.gov |
Related Documents
Folder 357463 Full Announcement-RFA-AG-24-049 -> RFA-AG-24-049-Full-Announcement.pdf
Packages
| Agency Contact Information: | NIH Grants Information grantsinfo@nih.gov Email: grantsinfo@nih.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-I | Use for due dates on or after January 25, 2025 | PKG00289272 | Jan 28, 2025 | Feb 28, 2025 | View |
Package 1
Mandatory forms
357463 RR_SF424_5_0-5.0.pdf
357463 PHS398_CoverPageSupplement_5_0-5.0.pdf
357463 RR_OtherProjectInfo_1_4-1.4.pdf
357463 PerformanceSite_4_0-4.0.pdf
357463 RR_KeyPersonExpanded_4_0-4.0.pdf
357463 PHS398_ResearchPlan_5_0-5.0.pdf
357463 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
357463 RR_Budget_3_0-3.0.pdf
357463 RR_SubawardBudget30_3_0-3.0.pdf
357463 PHS398_ModularBudget_1_2-1.2.pdf
357463 PHS_AssignmentRequestForm_4_0-4.0.pdf
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