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The NSF FDT-BioTech program (NSF 24-561) supports interdisciplinary research at the intersection of AI, computational modeling, and biomedical innovation by funding the mathematical and engineering foundations behind digital twins and synthetic data for healthcare applications.
Digital twins — computational replicas of biological systems, patients, or medical devices — require advanced AI and machine learning methods for their development, calibration, and deployment. The program funds research on methods and algorithms relevant to digital twins and synthetic humans, including AI-driven in silico evaluation of medical devices and treatments.
Projects must be inherently interdisciplinary, combining expertise in mathematics, engineering, computer science, and biomedical domains. Collaborative projects across multiple organizations are encouraged and can receive up to $1 million in total funding over up to 3 years.
The program is administered by multiple NSF directorates including the Division of Mathematical Sciences and the Office of Advanced Cyberinfrastructure, reflecting its cross-cutting nature. The deadline recurs annually on the first Monday in May.
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Or search similar grants →According to the current listing, eligibility includes: Principal investigators at U.S. institutions of higher education and nonprofit research organizations. Each PI or Co-PI is limited to one proposal per competition cycle. Collaborative projects involving multiple organizations are accepted. Teams should demonstrate interdisciplinary expertise spanning mathematics, engineering, computer science, and biomedical sciences. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000,000 per collaborative project. Total program budget: $4,000,000-$5,000,000 per cycle. Estimated 6-10 awards per cycle. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 4, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is funded by National Science Foundation (NSF). 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.
Announced August 4, 2026, NSF 26-513 will fund up to 10 State and Regional AI Infrastructure Hubs at $4-12M each over five years. It is a cooperative-agreement, public-private consortium model designed to put frontier compute in the hands of researchers outside the elite institutions. Here is how the program is structured, who can lead, and how to build a competitive consortium before the November 4 deadline.
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