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The NCI Informatics Technology for Cancer Research (ITCR) program funds the development of informatics technologies including AI machine learning and advanced computational tools that address critical needs in cancer research and cancer management.
The program supports a full pipeline of tool development from innovative methods and algorithms through early-stage development to advanced development and sustained support of established tools.
AI-relevant focus areas include machine learning for cancer genomics and proteomics deep learning for medical imaging and pathology natural language processing for clinical records analysis AI-powered drug discovery and target identification computational tools for cancer systems biology and predictive modeling for treatment response.
The program has funded projects spanning biomedical imaging deep learning computational genomics and data integration platforms. New RFAs are forecasted for 2026 across all tiers. This program is distinct from the NSF SCH program which requires interdisciplinary fundamental research and from ARPA-H programs which target specific clinical applications rather than research tools.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education domestic nonprofit organizations for-profit organizations and state and local government agencies. Foreign institutions may apply for some mechanisms. SBIR and STTR funding is also available for small businesses developing cancer informatics technologies. Check grants.gov for specific eligibility per funding announcement. Confirm the full requirements in the official notice before applying.
The current listing shows multiple award tiers: Early-Stage Development U01 grants up to $300,000 per year for 3 years. Advanced Development U24 grants up to $600,000 per year for 5 years. Sustained Support U24 grants with no explicit budget limit. Innovative Methods R21 grants up to $275,000 direct costs over 2 years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NCI Informatics Technology for Cancer Research Program for AI-Powered Cancer Informatics Tools is funded by National Cancer Institute (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 NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
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 soliciting white papers for research, development, integration, test, and evaluation of technologies and techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source, including imagery, imagery intelligence, and geospatial data. Explicit focus areas include AI/ML techniques for full-spectrum GEOINT, multi-INT data fusion, cloud-based high-performance computing for geospatial analytics, photogrammetry, computer vision for overhead imagery, automated target recognition, change detection, multi-modal foundation models for geospatial data, and edge AI for tactical reconnaissance. The BAA is open and effective until 30 September 2026 with rolling white paper submission; only white papers are accepted as initial submissions and formal proposals are accepted by invitation only. Strong fit for AI and computer vision performers building geospatial analytics, foundation models, or autonomous reconnaissance tools for Air Force, intelligence community, and combatant command users.
PA-27-037 consolidates the Predoctoral to Postdoctoral Transition Award into a single parent announcement across 20 NIH components, with the next deadline December 8, 2026. The eligibility gate is not the science — it is a mandatory change of institution and mentor between the F99 and K00 phases.
Read articleA draft executive order would have put OMB Director Russell Vought on a commission with final say over NIH awards after peer review. Sen. Collins killed it by pointing at a provision Congress already passed. Here is what the episode teaches applicants about the December 11 cliff.
Read articlePA-27-034, PA-27-035 and PA-27-036 replace the institute-specific R25 announcements that research education programs have been built around for a decade. NCI, NIDA and NIGMS have already expired theirs early. Here is what the consolidation actually changes: an 8% indirect cost ceiling, a US-citizens-and-permanent-residents participant rule, a cooperative agreement variant that only exists on one of the three, and no clinical-trial-allowed companion anywhere.
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