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The NIH Common Fund's Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) program, administered by NCATS and approved by the NIH Council of Councils in 2025, develops standardized frameworks supporting the design, deployment, and adoption of multimodal AI clinical decision support tools that integrate medical imaging with other clinical data.
It funds a coordinated set of cooperative agreements (RFA-RM-27-011 through -015) spanning framework playbooks, academic-industrial data-to-model and model-to-clinic partnerships, a validation center, and a logistics center, with awards ranging from $300K/year to $2M+ per award. Applications are due in October 2026.
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Or search similar grants →According to the current listing, eligibility includes: Domestic and foreign institutions eligible for NIH cooperative agreements, including universities, research institutes, and academic-industrial partnerships. Confirm the full requirements in the official notice before applying.
The current listing shows multiple cooperative-agreement RFAs (RFA-RM-27-011 through RFA-RM-27-015). Multi-use Framework Playbook awards up to $300,000 per year (approx. 5 awards, up to 2 years); Validation Center up to $2,000,000 per award (approx. $2.7M program budget); additional Data-to-Model, Model-to-Clinic, and Logistics Center components. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NIH Common Fund PRIMED-AI (Precision Medicine with AI: Integrating Imaging with Multimodal Data) Program are due October 9, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIH Common Fund PRIMED-AI (Precision Medicine with AI: Integrating Imaging with Multimodal Data) Program is funded by NIH Common Fund (National Institutes of Health), administered by the National Center for Advancing Translational Sciences (NCATS). 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.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
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