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Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Supports mission-aligned projects focused 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.
This includes early-stage development of software, tools, and reusable convolutional neural networks.
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Artificial Intelligence, Machine Learning, and Deep Learning | National Institute of Biomedical Imaging and Bioengineering Artificial Intelligence, Machine Learning, and Deep Learning Director, National Centers for Biomedical Imaging and Bioengineering Division of Health Informatics Technologies (Informatics) Program Area: Artificial Intelligence, Machine Learning, and Deep Learning Division of Health Informatics Technologies (Informatics) Program Area: Artificial Intelligence, Machine Learning, and Deep Learning Supports the design and development of artificial intelligence, machine learning, and deep learning to enhance analysis of complex medical images and data.
The emphasis is on 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. Unsupervised and semi-supervised techniques and methodologies are of particular interest.
Program priorities and areas of interest: clinical decision support systems analyzing complex patterns and images natural-language processing and understanding robotic and image guided surgery personalized imaging and treatment machine/deep learning-based segmentation, registration, etc. This program also supports: early-stage development of software, tools, and reusable convolutional neural networks data reduction, denoising, improving performance (health-promoting apps), and deep-learning based direct image reconstruction approaches that facilitate interoperability among annotations used in image training databases NIH Demystifies Vital Biomedical Tech for Congressional Staff Biomedical engineers and imaging researchers gave 45 congressional staff a glimpse of transformative medical technologies on the horizon, underscoring the crucial role of medical tools in human health.
AI tool can track effectiveness of multiple sclerosis treatments A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by University College London researchers.
Source: University College London News Researchers lend expertise to improve treatment for childhood brain cancers Brain cancer is the second most common cancer in children after leukemia, and it is also the deadliest, due to the fact that brain tumors are diverse, resistant to treatments and often hard to access surgically.
A collaborative team of researchers at several institutions have developed a new way to profile brain cancers in children, paving the way for improved diagnostics and treatments. Source: UTSA Today NIH announces finalists of endometriosis diagnostics competition The National Institutes of Health (NIH) has selected four finalists with innovative, non-invasive technologies that seek to improve diagnosis of endometriosis.
Portable MRI, enhanced by AI, proves viable in brain imaging for dementia The low image quality of small, affordable MRI machines have prevented their widespread use. But a boost from AI could close the gap, bringing MRI to more patients.
According to the current listing, eligibility includes: Applicants should contact NIBIB for specific program guidance, but generally includes researchers and institutions involved in biomedical imaging and bioengineering. Confirm the full requirements in the official notice before applying.
Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB) is funded by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
NIBIB Trailblazer Award for New and Early Stage Investigators (R21) is a grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH that funds high-risk, high-impact research at the intersection of engineering, physical sciences, and biomedical sciences. Eligible applicants are NIH-defined New or Early Stage Investigators who have not previously submitted R01 or R15 applications. Awards provide $400,000 in direct costs over three years. No preliminary data are required — projects should be exploratory, novel, and non-incremental. Applications are due June 16, 2026.
Funding Opportunity Announcement – NIBIB Technology Development Network Coordinating Centers (RFA‑EB‑26‑001) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Funding Opportunity Announcement for NIBIB Technology Development Network Coordinating Centers is a grant from the National Institutes of Health (NIH) through the National Institute of Biomedical Imaging and Bioengineering (NIBIB) that will fund Coordinating Centers designed to …
Concept to Clinic: Commercializing Innovation (C3i) Program is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. The C3i Program provides medical device innovators with specialized business frameworks and essential tools for successful translation of biomedical technologies from the lab to the market. It fosters the development and commercialization of early-stage biomedical technologies by engaging investigators interested in understanding the market value of their innovation.
NCI Continuing Umbrella of Research Experiences (CURE) Academic Career Excellence (ACE) Award (K32) is a grant from the National Cancer Institute (NCI) that funds early postdoctoral fellows from diverse backgrounds, including underrepresented groups, to pursue research training in cancer-related fields. The K32 award supports fellows within 12 months prior to transitioning into, or within the first two years of, a postdoctoral position. The program, operated through NCI's Center to Reduce Cancer Health Disparities (CRCHD), aims to enhance the pool of qualified diverse cancer researchers. Beginning with the June 12, 2025 due date, the CURE ACE Award is available in both Independent Clinical Trial Required and Independent Clinical Trial Not Allowed versions. Eligible applicants must be U.S. citizens or permanent residents at time of award.
Innovation Grant is a grant from the Delta Dental of Arizona Foundation that funds nonprofit organizations pursuing unique, high-impact projects that improve health and wellness in Arizona communities. This two-year award supports original initiatives with measurable real-world impact, including programs serving underserved and uninsured populations through oral health education, disease prevention, and nutritional access. Projects must demonstrate the potential to make a meaningful difference in the community and stand apart from conventional approaches. Eligible applicants are Arizona-based nonprofit organizations. Awards total $100,000 per recipient over two years. The 2026 application cycle closed October 16, 2025, with recipients notified in late 2025 and funding made available shortly after.
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Read articleThe joint NSF-NIH Smart Health and Biomedical Research solicitation supports high-risk, high-reward AI/data science work in health — $300K per year for four years, with 20+ NIH institutes participating. Here is how the program actually selects winners.
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