The National Institutes of Health (NIH) is offering small research grants (R03) through the NIDCR for the analysis of existing genomic data related to human dental, oral, and craniofacial biology. The primary objective is to support innovative research projects that utilize statistical and computational methodologies, including artificial intelligence and machine learning, to enhance understanding of diseases and conditions, with a particular emphasis on addressing oral health disparities. This funding opportunity allows for up to $200,000 in direct costs over a two-year period, with applications opening on January 16, 2025, and submissions due by 5 PM local time on May 7, 2026. Interested applicants can find more information and guidance by contacting NIH Grants Information at grantsinfo@nih.gov or visiting the official announcement at https://grants.nih.gov/grants/guide/pa-files/PAR-25-166.html.

PAR-25-166-Full-Announcement.html

PAR-25-166.html

The funding opportunity announced by the National Institute of Dental and Craniofacial Research (NIDCR) supports small research grants (R03) for the analysis of existing genomic data related to human dental, oral, and craniofacial biology. The purpose is to enhance understanding of diseases and conditions through statistical and computational methodologies, including AI and machine learning. Projects prioritizing the investigation of oral health disparities are particularly encouraged. Applications may include up to $200,000 in direct costs over a two-year period, with no clinical trial proposals allowed. Eligible applicants include educational institutions, non-profits, and various government entities, both domestic and international. Key dates include an application opening on January 16, 2025, with submissions due by 5 PM local time. Applicants are advised to follow detailed instructions in the provided guides and ensure compliance with data sharing policies. This program reflects NIH’s commitment to advancing dental and craniofacial research while encouraging innovative approaches to data analysis.

https://grants.nih.gov/grants/guide/pa-files/PAR-25-166.html

The purpose of this NOFO is to announce support for meritorious research projects that address research questions relevant to human dental, oral, or craniofacial (DOC) biology, and diseases and conditions, through analysis of existing and publicly available genomic data, with or without other types of complementary data, using statistical and computational approaches. Data analysis for each project can be performed using existing and/or novel methods to be developed in the proposed project(s), including methods for data and metadata mining, data integration, and Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) methods. In addition to analysis of existing data, experimental or in silico work is required to validate the results of the proposed analysis , or to validate a newly developed analytic method. Projects aimed at understanding oral health disparities to inform strategies for improving health for all individuals are a priority. Projects focused on investigating and/or characterizing human biological pathways to inform identification of intervention targets or defining the pathogenicity of known genetic variants are encouraged.

See Section VII. Agency Contacts within the full opportunity announcement for all other inquires.

NIH Grants Information&lt;br/&gt;grantsinfo@nih.gov

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