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The NIBIB Trailblazer Award (R21) supports new and early-stage investigators pursuing research at the interface of engineering, physical sciences, and biomedical sciences, with a strong emphasis on AI/ML applications in biomedical imaging and data analysis. The award provides up to $400,000 in direct costs over a three-year period.
Priority research areas include AI-powered clinical decision support systems, computer-aided diagnosis and screening, natural language processing for medical records, predictive modeling for patient outcomes, radiomics and image segmentation, and early-stage software and tool development.
The program is designed to lower barriers for investigators who may lack preliminary data by using an R21 mechanism that supports exploratory and developmental research. NIBIB's AI/ML program supports the design and development of artificial intelligence, machine learning, and deep learning to enhance analysis of complex medical images and data.
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Or search similar grants →According to the current listing, eligibility includes: New Investigators and Early Stage Investigators at academic or research institutions. Must be pursuing research at the interface of engineering and/or physical sciences with biomedical sciences. No preliminary data required. Confirm the full requirements in the official notice before applying.
The current listing shows up to $400,000 in direct costs over three years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NIBIB Trailblazer Award for New and Early Stage Investigators in Biomedical AI and Imaging is funded by National Institute of Biomedical Imaging and Bioengineering (NIBIB/NIH). 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The Department of Energy's Office of Technology Commercialization has opened the FY26 Genesis Mission SBIR/STTR Phase I opportunity, funding small business research across four AI-for-science topic areas tied to DOE's Genesis Mission. Scaling the Biotechnology Revolution seeks advanced AI applications for biochemicals and bioproducts, including AI tools to support biomolecular design and to accelerate bioreactor design and biomanufacturing. Realizing Quantum Systems for Discovery covers AI for quantum computing and networking, specifically qubit decoherence mitigation, quantum error correction, and automating and optimising quantum resource estimation tools. Designing Materials with Predictable Functionality seeks AI frameworks enabling inverse design, where materials are engineered backwards from specific required properties, for energy and manufacturing applications. Achieving AI-Driven Autonomous Laboratories covers integration of AI into experimental workflows using advanced robotics, AI for network operations, diagnostics and remote handling. Phase I awards are up to 250,000 dollars over six to 12 months, with approximately 40 awards totalling 10 million dollars and lifecycle funding up to 44 million dollars. The defining feature of this cycle is a mandatory pitch-first process: companies submit a 700-word pitch answering four equally weighted questions covering summary, technical promise, commercialisation potential and team qualifications, and only accepted pitches are invited to submit a full application. Pitches were due 10 September 2026 at 2:00pm ET. A company may submit a maximum of three pitches.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
The 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 articleThe April 14 SBIR/STTR reauthorization restarted NIH's small-business pipeline after the shutdown, but the real signal is the sequencing of the new Small Business 101 webinars: program overview June 9, budget July 14, foreign risk August 18.
Read articleNIH's accelerating use of multiyear-funded grants — 601 awards worth $402 million in the first half of FY26, against just 146 awards worth $75 million in the same window of FY24 — has produced a fiscal contraction at research universities that has begun cascading into PhD admissions. AAU member institutions are admitting smaller graduate cohorts than they did in 2024 or 2025, with downstream consequences for the biomedical workforce, lab continuity, and the foreign-student pipeline through 2030. Why the contraction is structural rather than cyclical, and what universities, PIs, and prospective trainees should be doing in the second half of 2026.
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