NIDCR Research Grants for Analyses of Existing Genomics Data (R01) (Clinical Trial Not Allowed)
ID: 347178Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Eligible Applicants

Others

Funding Category

Health

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/347178

Additional Information

http://grants.nih.gov/grants/guide/pa-files/PAR-23-133.html
Timeline
    Description

    The National Institutes of Health (NIH), through the National Institute of Dental and Craniofacial Research (NIDCR), has announced a funding opportunity for research grants (R01) aimed at analyzing existing genomic data relevant to human dental, oral, and craniofacial (DOC) biology. This initiative, identified as NOFO PAR-23-133, seeks to support projects that utilize publicly available genomic data and other complementary data types, employing statistical and computational methodologies, including artificial intelligence and machine learning approaches. The program emphasizes addressing oral health disparities and investigating genetic pathways, with applications accepted from a diverse range of eligible organizations, including educational institutions and nonprofits. Interested applicants must comply with NIH's Data Management and Sharing Policy and submit proposals through Grants.gov or the NIH ASSIST system, with ongoing submission cycles until May 5, 2026. For further inquiries, applicants can contact NIH Grants Information at grantsinfo@nih.gov.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    PAR-23-133-Full-Announcement.html
    PAR-23-133.html
    The National Institutes of Health (NIH), through the National Institute of Dental and Craniofacial Research (NIDCR), has announced a funding opportunity for research grants (R01) aimed at analyzing existing genomic data relevant to human dental, oral, and craniofacial (DOC) biology. The initiative, identified as NOFO PAR-23-133, seeks to support projects utilizing publicly available genomic data, alongside other complementary data types, leveraging statistical and computational methodologies, including AI and machine learning approaches. Priority will be given to projects addressing oral health disparities and those investigating genetic pathways. Applications are accepted from a broad range of eligible organizations, including educational institutions, nonprofits, and for-profit entities, with a focus on ensuring diverse representation in the applicant pool. Key dates include initial submission deadlines on June 5, 2023, and ongoing cycles until May 5, 2026. Applicants are required to comply with NIH's new Data Management and Sharing Policy, submitting proposals through Grants.gov or the NIH ASSIST system. The application review will emphasize scientific merit, innovation, and the qualifications of the project team. This opportunity underscores NIH's commitment to advancing research in oral health and related genetic factors, aiming to improve healthcare outcomes for diverse populations.
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