ML/AI Tools to Advance Genomic Translational Research (MAGen) - Development Sites (UG3/UH3 Clinical Trials Not Allowed)
ID: 354154Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Award Range

$0 - $2M

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/354154

Additional Information

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-24-004.html
Timeline
    Description

    The National Institutes of Health (NIH) is inviting applications for the development of Machine Learning (ML) and Artificial Intelligence (AI) tools through the funding opportunity titled "ML/AI Tools to Advance Genomic Translational Research (MAGen)." The primary objective is to establish a consortium that will explore the feasibility of these tools in enhancing the prediction of disease manifestation in individuals with pathogenic genetic variants, while also addressing the ethical, legal, and social implications (ELSI) of their integration into genomic medicine. This initiative is crucial for advancing genomic research and translating findings into clinical practice, with a total funding allocation of $4.8 million for FY 2025 to support 2-4 projects, each with a budget cap of $1.6 million annually over five years. Interested applicants must submit their proposals by July 28, 2024, and can direct inquiries to grantsinfo@nih.gov for further information.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    RFA-HG-24-004-Full-Announcement.html
    RFA-HG-24-004.html
    The Notice of Funding Opportunity (NOFO) issued by the Department of Health and Human Services, specifically through the National Institutes of Health (NIH), solicits applications to develop Machine Learning (ML) and Artificial Intelligence (AI) tools aimed at enhancing genomic translational research. The core objective is to form a consortium, titled ML/AI Tools to Advance Genomic Translational Research (MAGen), focused on identifying genomic and non-genomic factors that influence disease manifestation in individuals with pathogenic genetic variants. Successful proposals must utilize existing multimodal data and address ethical, legal, and social implications (ELSI) related to ML/AI integration in genomic medicine. The funding opportunity encourages multidisciplinary collaboration, prioritizing applicants from diverse backgrounds, and proposes structured phases for progress: an initial UG3 phase for framework and tool design, followed by a UH3 phase for actual tool development and validation. A total of $4.8 million is allocated for FY 2025 to fund 2-4 projects, with individual budgets capped at $1.6 million annually for five years. Eligibility extends to various educational and research institutions, and specific guidelines for applications, including deadlines and necessary documentation, are provided. The initiative aims to significantly advance research in genomic applications and foster innovation in translating genomic research into clinical practice while ensuring varied perspectives are integrated throughout the process.
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