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"Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) - Validation Center Opportunity (RFA-RM-27-014)" is currently closed and not accepting applications.
Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) - Validation Center Opportunity (RFA-RM-27-014) is sponsored by NIH Common Fund. This funding opportunity will support the establishment of an independent center responsible for verifying, validating, and assessing uncertainty in AI-enabled tools developed through PRIMED-AI.
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Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) The PRIMED-AI program seeks to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions.
PRIMED-AI will be a uniquely synergistic, catalytic, cross‐cutting way of transforming the delivery of precision medicine through the emerging medical AI landscape. The Validation Center opportunity ( RFA-RM-27-014 ) invites applications for a center which will serve as an independent hub for third party verification, validation, and uncertainty quantification of AI-enabled tools developed by the program.
Applications are due: October 2, 2026, by 5:00 PM local time of applicant organization Watch the Validation Center informational webinar Register for the Validation Center live question and answer session on August 5, 11 am – 12 pm ET The Logistics Center opportunity ( RFA-RM-27-015 ) invites applications for a center which will provide the administrative infrastructure necessary to facilitate and coordinate PRIMED-AI awardee activities to maximize the impact of the program.
The Logistics Center will provide administrative infrastructure through three integrated cores: Administration, Evaluation, and Outreach.
Applications are due: October 2, 2026, by 5:00 PM local time of applicant organization Watch the Logistics Center informational webinar Register for the Logistics Center live question and answer session on August 5, 11 am – 12 pm ET The Development and Testing of a Multi-use Frameworks Playbook opportunity ( RFA-RM-27-011 ) invites applications for projects to develop and test standardized processes that will help organize and support the emerging multimodal-AI field.
Such frameworks will support responsible use of PRIMED-AI models, error mitigation and technical management of data and algorithms, data ontology/linkage, and preparation for regulatory approval.
Applications are due: October 9, 2026, by 5:00 PM local time of applicant organization Watch the Playbook informational webinar Register for the Playbook live question and answer session on July 30, 10 – 11 am ET The Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) opportunity ( RFA-RM-27-012 ) invites applications for projects that will integrate and harmonize novel multiscale, multimodal data with clinical imaging data as well as develop and test truly novel AI-enabled, image-centered, multimodal clinical decision support tools.
The purpose of this opportunity is to support multi-sector and multi-disciplinary research teams, including investigators from both academia and industry, to create mutually beneficial opportunities for partners in the pre-competitive development stage.
Applications are due: October 19, 2026, by 5:00 PM local time of applicant organization Watch the Data-to-Model Academic Industrial Partnerships informational webinar Register for the Data-to-Model Academic Industrial Partnerships live question and answer session on August 4, 11 am – 12 pm ET The Model-to-Clinic (M2C) opportunity ( RFA-RM-27-013 ) invites applications for projects that take clinical decision support tools from validated prototypes to clinical applications.
M2C projects are expected to have high potential for demonstrable, positive impact on patient outcomes and/or healthcare processes. Applications are due: October 19, 2026, by 5:00 PM local time of applicant organization Watch the Model-to-Clinic informational webinar Register for the Model to Clinic live question and answer session on August 4, 11 am – 12 pm ET This page last reviewed on
According to the current listing, eligibility includes: Researchers, institutions, and multidisciplinary teams interested in developing reliable, cost-effective AI-based tools that combine medical imaging with diverse health data sources. Confirm the full requirements in the official notice before applying.
The published deadline was October 2, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) - Validation Center Opportunity (RFA-RM-27-014) is funded by NIH Common Fund. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (UG3/UH3, Clinical Trial Optional) is sponsored by NIH Common Fund. This program aims to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support the development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. These tools will integrate clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions.
Precision Medicine with AI: Integrating Imaging with Multimodal (PRIMED-AI) program - Validation Center (RFA-RM-27-014) is sponsored by NIH Common Fund. This opportunity invites applications for a center that will serve as an independent hub for third-party verification, validation, and uncertainty quantification of AI-enabled tools developed by the PRIMED-AI program. The PRIMED-AI program seeks to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine.
NOT-RM-26-004 asks the public for NIH-wide research challenges worth a 10-year, cross-institute program. There is no budget, no biosketch, no page limit, and no award. What there is: the five criteria every Common Fund investment has met since 2006, a new bullet about small-lab burden, and a fund whose FY 2026 request came in at $347.4 million — down 49.3 percent.
Read articleThe NIH Common Fund launched PRIMED-AI — Precision Medicine with AI: Integrating Imaging with Multimodal Data — as five coordinated funding opportunities (RFA-RM-27-011 through -015) that build a full pipeline from standards to clinic. Here is how the Playbook, Data-to-Model partnerships, Model-to-Clinic translation, Validation Center, and Logistics Center fit together, what each pays, who is eligible, and how to position before the October 2026 deadlines.
Read articleAvoid common NIH grant proposal mistakes including vague specific aims, weak methodology, and poor budget justification that lead to rejection.
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