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Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB Focus Area) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) - NIH. NIBIB supports the design and development of artificial intelligence, machine learning, and deep learning to enhance the analysis of complex medical images and data.
This includes clinical decision support systems, computer-aided diagnosis and screening, analyzing complex patterns and images, and machine/deep learning-based segmentation and registration.
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Search similar grants →Based on current listing details, eligibility includes: NIBIB supports technology development and research, typically through various grant mechanisms open to universities and researchers. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies by specific funding opportunity Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
The Trailblazer R21 Awards is a grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) at NIH that funds exploratory research at the interface of life sciences, engineering, and physical sciences. Designed for NIH-defined New and Early Stage Investigators, the program provides $400,000 in direct costs over three years — sufficient time and resources to pursue a new or emerging research program. Projects may be exploratory, developmental, proof-of-concept, or high-risk/high-impact in nature. Current priority areas include photoacoustic and optoacoustic technologies. This award offers early-career biomedical engineers and imaging scientists a meaningful launchpad for independent research.
Artificial Intelligence, Machine Learning, and Deep Learning - NIBIB Programs is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) - NIH. This program supports research in Artificial Intelligence, Machine Learning, and Deep Learning with an emphasis on the development of transformative machine intelligence-based systems, emerging tools, and modern technologies for diagnosing and recommending treatments for a range of diseases and health conditions. Program priorities include computer-aided diagnosis, computer-aided screening, analyzing complex patterns and images, screening for diseases, and computer vision in medical applications.