PRIMED-AI: Academic-Industrial Partnerships (UG3/UH3 Clinical Trial Optional)
Can you apply?
This grant is for academic-industrial partnerships to develop AI-based tools for precision medicine. Eligible applicants typically include research institutions, universities, medical centers, and partnering private companies or technology firms.
The program focuses on integrating clinical imaging with other health data types. Applicants must demonstrate expertise in AI development, medical imaging analysis, and healthcare data integration.
Geographic scope is national. The program requires meaningful collaboration between academic and industrial partners for AI algorithm development and clinical testing.
Key dates
- Jun 6, 2025 Applications open
- Jun 17, 2026 Application deadline in 4 days
- Mar 1, 2027 Award announced
- Mar 1, 2027 Project start
Program description
The NIH Common Fund, with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for the Precision Medicine with Artificial Intelligence – Integrating Imaging with Multimodal Data (PRIMED-AI) program, which 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. The program’s Academic Industrial Partnership (AIP) initiative will focus on data integration and interoperability and will be followed by a second phase focused on algorithm development and performance testing. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the UG3/UH3 activity code. Investigators with expertise and insights into AIP collaborations to develop and test AI-based tools using medical images and multimodal data for clinical diagnosis and treatment are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in building and managing academic and industrial partnerships will be encouraged and these investigators should also begin considering applying for this application.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- SF-424 (Federal Application for Federal Assistance)
- Project Narrative and Specific Aims
- Budget and Budget Justification
- Biosketch (all key personnel)
- Letters of Commitment (from partner institutions and industry)
- Data Management and Sharing Plan
- Timeline and Milestones
Program contact
- 👤 Sahana N. Kukke, PhD Office of the Director/NIH Common Fund, DPCPSI, OD
- 📧 ODPRIMED-AI@od.nih.gov
- 📞 301-402-3756
Funding track record
Recent awards under CFDA 93.310 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
-
$973,507,476
-
$383,462,829
-
$190,396,050
-
$179,743,190
-
$169,422,678
-
$167,922,818
-
$143,679,156
-
$134,358,531
-
$115,739,255
-
$91,722,927
Top States by Funding
- NC 5 awards $1,419.6M
- WA 1 awards $383.5M
- MD 2 awards $303.8M
- NY 3 awards $192.1M
- NJ 1 awards $179.7M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.310). How funding has trended year over year.
| 2024 | $1,174,839,078 | |
| 2025 | $1,062,277,534 | |
| 2026 est. | $28,100,048 |
FAQ
Who can apply for PRIMED-AI?
Academic institutions and their industrial partners can apply. Both parties must demonstrate relevant expertise in AI, medical imaging, and healthcare data.
What is the deadline?
The NOFO has a fixed deadline of June 17, 2026. Applications are not yet being solicited; notice is for planning purposes.
What activities does this grant support?
The grant supports developing AI tools that integrate clinical imaging with multimodal health data. Phase 1 focuses on data integration and interoperability; Phase 2 covers algorithm development and performance testing.
How competitive is this grant?
NIH Common Fund grants are highly competitive. Strong preliminary data, experienced research teams, and well-designed partnerships significantly improve competitiveness.
What is the typical award size?
Specific funding amounts vary by application type. UG3/UH3 cooperative agreements typically support multi-year projects with substantial funding for team-based research.
💡 Tips for applicants
- Start building your academic-industrial partnership now. The notice gives time to establish meaningful collaborations before the NOFO opens.
- Clearly define each partner's role and expertise. Explain how the academic and industrial contributions complement each other.
- Focus on clinical relevance and patient impact. Show how your AI tools will improve diagnosis or treatment in real settings.
- Plan for both phases: data integration first, then algorithm development and validation. Demonstrate feasibility of the full scope.
- Emphasize data quality, governance, and interoperability. These are core program priorities for this initiative.
⚠️ Common mistakes
Weak partnerships where roles are unclear or industrial partner commitment seems nominal. Overambitious scope that tries to cover too many disease areas or data types instead of a focused clinical problem. Insufficient attention to data governance, privacy, regulatory compliance, or clinician engagement in tool validation.
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