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The NIBIB Trailblazer Award is an enhanced R21 mechanism for New and Early Stage Investigators (NIs/ESIs) to pursue research at the interface of life sciences with engineering and physical sciences — explicitly including artificial intelligence, machine learning, and deep learning for medical imaging and biomedical data analysis.
Trailblazer projects receive up to $400,000 in direct costs over three years, and NIBIB encourages applications in computational imaging, AI-driven diagnostic algorithms, deep learning for medical image segmentation and classification, machine learning approaches to biomedical signal processing, and AI for digital pathology, radiology, and wearable health sensors.
Beginning FY2026, NIH funding opportunities are posted exclusively on Grants. gov rather than the NIH Guide. Trailblazer complements NIBIB's standard R21 (capped at $275,000 over two years) and R01 pathway for larger established research programs.
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Or search similar grants →According to the current listing, eligibility includes: Open to New Investigators (NIs) and Early Stage Investigators (ESIs) — independent researchers who have not previously received a substantial NIH research grant such as an R01. Applicants must hold faculty or equivalent positions at U.S. domestic institutions including universities, hospitals, academic medical centers, and nonprofit research organizations. Research must align with NIBIB mission areas at the intersection of life sciences with engineering and physical sciences, including AI and ML for biomedical applications. Confirm the full requirements in the official notice before applying.
The current listing shows up to $400,000 in direct costs over three years per award (single budget cap, not annual). Trailblazer is an enhanced R21 mechanism specifically for new and early-stage investigators in biomedical engineering and AI/ML for health. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NIBIB Trailblazer Award R21 for New and Early Stage Investigators in AI Machine Learning and Biomedical Imaging is funded by National Institute of Biomedical Imaging and Bioengineering (NIBIB) / National Institutes of Health (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.
National Institute of Biomedical Imaging and Bioengineering (NIBIB) SBIR/STTR Program is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) / National Institutes of Health (NIH). The NIBIB Small Business Program supports the development and integration of advanced biomedical imaging, bioengineering, sensing, and computational technologies. This includes novel medical device platforms, bio-electromagnetic technologies, health informatics (including digital health, mobile health, and telehealth), and diagnostic and therapeutic technologies.
NIBIB Biomedical Technology Resource Centers (P41) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) / National Institutes of Health (NIH). This FOA encourages grant applications for Biomedical Technology Resource Centers (BTRCs) that conduct research and development on new technologies driven by the needs of basic, translational, and clinical researchers.
Biomedical Engineering, Imaging, and Technology Acceleration (BEITA) at Historically Black Colleges and Universities (RFA-EB-26-003) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) / National Institutes of Health (NIH). This Notice of Funding Opportunity (NOFO) solicits applications to enhance bioengineering and imaging research capacity, technology innovation, education and research training, and opportunities for scientific growth at Historically Black Colleges and Universities (HBCUs).
The Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
The Department of Energy's Advanced Materials and Manufacturing Technologies Office (AMMTO) Smart Manufacturing Funding Opportunity Announcement (DE-FOA-0003329) provides up to $33 million to fund high-impact applied research, development, and demonstration projects that use digitization, artificial intelligence, machine learning, and physics-informed models to improve the technical performance, efficiency, productivity, and competitiveness of U.S. manufacturing. Areas of interest include AI- and ML-driven automation integrating hardware and software systems into manufacturing tooling and equipment, manufacturing asset management for system performance optimization (cost, quality, throughput), intelligent materials identification and sorting for circular economy outcomes, and digital twin platforms supporting clean energy manufacturing. The FOA aligns with the DOE Industrial Decarbonization Roadmap and supports the broader Manufacturing USA Smart Manufacturing strategy.
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