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Cures Within Reach funds investigator-initiated, proof-of-concept Phase I or Phase IIA clinical trials that validate artificial intelligence (AI)-driven drug repurposing opportunities in any unsolved disease, where the therapies flagged by AI models are already approved. AI-generated data must support the trial's preclinical foundation.
There is a preference for rare diseases, off-patent drugs and biologics, and openly accessible or nonprofit/government-developed AI models. Applications are submitted through ProposalCentral.
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Or search similar grants →According to the current listing, eligibility includes: Investigators running proof-of-concept Phase I or Phase IIA clinical trials in any unsolved disease. Both on- and off-patent drugs/biologics eligible (preference for off-patent). Data from any AI model eligible (preference for open/nonprofit models). Confirm the full requirements in the official notice before applying.
The current listing shows up to $100,000 per project (including a 10% institutional match); additional funds available for community engagement. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Cures Within Reach Clinical Trials to Validate AI-Driven Drug Repurposing is funded by Cures Within Reach. 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.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
HRSA-26-078 splits $9.1 million among roughly 10 Public Health Training Centers, with awards up to $910,000 and applications due July 17, 2026. Eligibility runs to accredited schools of public health and other nonprofit training institutions. Here's why the winning applications are the ones that can prove an existing, mapped relationship with state and local health departments — not the ones promising the slickest coursework.
Read articleThe Department of Education's May 19 final rule activates Workforce Pell on July 1, 2026, opening federal aid to short-term training programs as brief as 8 weeks. Governors and state workforce boards — not accreditors — pick the eligible industries, and only programs that pass earnings-vs-cost gates make the list.
Read articleA new executive order, a DOJ National Fraud Enforcement Division, and a multi-agency task force are creating the most powerful federal grant enforcement apparatus in decades. What every recipient needs to understand.
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