ML/AI Tools to Advance Genomic Translational Research (MAGen) - Coordinating Center (UG3/UH3, Clinical Trials Not Allowed)
ID: 354156Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Award Range

$0 - $800K

Eligible Applicants

Others

Funding Category

Health

Funding Instrument

Cooperative Agreement

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/354156

Additional Information

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-24-005.html
Timeline
    Description

    The National Institutes of Health (NIH) is inviting applications for the Coordinating Center of the ML/AI Tools to Advance Genomic Translational Research (MAGen) Consortium. This initiative aims to develop machine learning (ML) and artificial intelligence (AI) tools to enhance the prediction of disease manifestation from pathogenic genetic variants, while also addressing the ethical, legal, and social implications (ELSI) of integrating these technologies into genomic medicine. The program is structured in two phases: the UG3 phase focuses on designing a consortium-wide framework, and the UH3 phase emphasizes implementing these frameworks and resources. Eligible applicants include higher education institutions, nonprofits, and government organizations, with a budget of up to $800,000 per year for five years, totaling an anticipated investment of $1.2 million for one award. Applications are due by July 29, 2024, and interested parties can reach out to NIH Grants Information at grantsinfo@nih.gov for further inquiries.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    RFA-HG-24-005-Full-Announcement.html
    RFA-HG-24-005.html
    The National Institutes of Health (NIH) is inviting applications for the Coordinating Center of the ML/AI Tools to Advance Genomic Translational Research (MAGen) Consortium. This initiative aims to develop machine learning (ML) and artificial intelligence (AI) tools that enhance the prediction of disease manifestation from pathogenic genetic variants. The Coordinating Center will facilitate collaboration among diverse teams to support research activities related to the deployment and validation of these tools, while also addressing the ethical, legal, and social implications (ELSI) of integrating ML/AI into genomic medicine. The program has a two-phase structure: the UG3 phase will involve designing a consortium-wide framework, while the UH3 phase will focus on implementing these frameworks and resources. The budget for a successful application is limited to $800,000 per year for five years, with an anticipated total investment of $1.2 million for one award. Eligible applicants include higher education institutions, nonprofits, and government organizations. The call for applications is positioned within the context of advancing genomic medicine, enhancing predictive capabilities in healthcare, and ensuring responsible management and sharing of genomic data. Applications are due by July 29, 2024, with two phases emphasizing strategic planning and execution in genomic research collaboration.
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