The National Human Genome Research Institute (NHGRI) is offering this grant to establish the ML/AI Tools to Advance Genomic Translational Research (MAGen) Consortium. This grant is for exploring the development of Machine Learning and Artificial Intelligence tools designed to enhance the accuracy and precision of predicting how individuals with pathogenic genetic variants manifest disease. A primary goal is to identify both genomic and non-genomic factors influencing disease progression. The initiative will leverage existing multimodal data and cross-validate tools in translational research settings. Furthermore, the consortium will investigate the ethical, legal, and social implications (ELSI) of integrating ML/AI into genomic medicine, establishing an ELSI Framework and conducting relevant research projects.
Opportunity ID: 354154
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-HG-24-004 |
| Funding Opportunity Title: | ML/AI Tools to Advance Genomic Translational Research (MAGen) – Development Sites (UG3/UH3 Clinical Trials 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: | 93.172 — Human Genome Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | May 10, 2024 |
| Last Updated Date: | May 10, 2024 |
| Original Closing Date for Applications: | Jul 28, 2024 |
| Current Closing Date for Applications: | Jul 28, 2024 |
| Archive Date: | Sep 02, 2024 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $1,600,000 |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) Special district governments Native American tribal organizations (other than Federally recognized tribal governments) Small businesses For profit organizations other than small businesses City or township 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 State governments Native American tribal governments (Federally recognized) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education County governments Independent school districts Public and State controlled institutions of higher education Private 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; Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | NHGRI aims to setup a research Consortium, ML/AI Tools to Advance Genomic Translational Research (MAGen), to collaboratively explore the feasibility of developing Machine Learning (ML) and Artificial Intelligence (AI) tools that can enhance the accuracy and precision of predicting how individuals with pathogenic genetic variants manifest disease. The primary goal is to identify both genomic and non-genomic factors influencing disease development in individuals carrying pathogenic genetic variants. The ML/AI tools will leverage existing multimodal genomic and non-genomic data and will be cross validated in genomic translational research settings to ensure the accuracy and generalizability of the tools for translational purposes. In addition, the Consortium will explore the ethical, legal, and social implications (ELSI) of integrating ML/AI tools into genomic medicine through the establishment of an ELSI Framework for their development, and through implementation of ELSI research projects. |
| Link to Additional Information: | https://grants.nih.gov/grants/guide/rfa-files/RFA-HG-24-004.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 |
|---|---|---|
Related Documents
Folder 354154 Full Announcement-RFA-HG-24-004 -> RFA-HG-24-004-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-H | Use for due dates on or after January 25, 2023 | PKG00286389 | Jun 26, 2024 | Jul 28, 2024 | View |
Package 1
Mandatory forms
354154 RR_SF424_5_0-5.0.pdf
354154 PHS398_CoverPageSupplement_5_0-5.0.pdf
354154 RR_OtherProjectInfo_1_4-1.4.pdf
354154 PerformanceSite_4_0-4.0.pdf
354154 RR_KeyPersonExpanded_4_0-4.0.pdf
354154 RR_Budget10_3_0-3.0.pdf
354154 PHS398_ResearchPlan_5_0-5.0.pdf
354154 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
354154 RR_SubawardBudget10_30_3_0-3.0.pdf
354154 PHS_AssignmentRequestForm_3_0-3.0.pdf
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