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Find similar grantsPennAITech Grants for AI Solutions for Older Adults is sponsored by Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech). PennAITech awards grants to fund innovative AI solutions for older adults and their caregivers, especially those with Alzheimer's disease and related dementias.
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About | Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging The overarching goal of the Penn Artificial Intelligence and Technology (PennAITech) Collaboratory for Healthy Aging is to identify, develop, evaluate, commercialize, and disseminate innovative technology and artificial intelligence (AI) methods and software to support older adults and those with Alzheimer’s Disease (AD) and Alzheimer’s Disease and Related Dementias (ADRD) in their home environment.
The Collaboratory is motivated by the need for a comprehensive pipeline from technology-based monitoring of older adults in the home, collection and processing monitoring data, integration of those data with clinical data from electronic health records, analysis with cutting-edge AI methods and software, and deployment of validated AI models at point of care for decision support.
A central focus of the PennAITech Collaboratory is to advance this vision through the solicitation, review, and funding of pilot grants focused on technology and AI development to advance the science of care management and aging in place for vulnerable older adults or those with AD/ADRD receiving skilled home and community-based services.
Funded pilot projects will be supported through cores focused on administration , stakeholder engagement , technology identification and training , clinical translation and validation , networking , and ethical and policy issues . This project is funded by the National Institute on Aging Grant Nr. P30AG073105
According to the current listing, eligibility includes: Researchers and organizations developing AI solutions for older adults and their caregivers, particularly those with AD/ADRD. Confirm the full requirements in the official notice before applying.
The current listing shows $2.47 million total awarded in 2025 (individual grant amounts vary). Verify award ceilings, matching requirements, and allowable costs in the official notice.
PennAITech Grants for AI Solutions for Older Adults is funded by Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech). Verify program details on the funder's official page before applying.
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PennAITech Pilot Awards is sponsored by Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech). PennAITech awards grants for innovative AI solutions for older adults and their caregivers, especially those with Alzheimer's disease and related dementias. This includes AI-powered tools to improve quality of life for older adults, such as those related to fall detection and safety surveillance.
Aging Focus Pilot Program (2025-2026) is sponsored by Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech). This program invites applications for pilot studies using technology and artificial intelligence (AI) to optimize care management and health outcomes for older Americans, including those living independently and those receiving clinical care or skilled home and community-based s…
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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward advances in AI and data science for biomedical and public health research. Projects must cross disciplinary boundaries.
On July 22, 2026 the White House committed more than $5 billion to expand the Genesis Mission — the government-wide 'AI for science' effort — announcing 278 first projects and 14 National Science and Technology Challenges spanning health, energy, infrastructure, manufacturing, and national security. More than 15 federal agencies are contributing awards, datasets, and facilities. Here is how the pieces fit, why it reorganizes the science-funding map, and how to position for the awards flowing out of it.
Read articleOn July 22, 2026 the White House announced more than $5 billion and 15-plus federal agencies behind the Genesis Mission — a national effort to point AI at the hardest problems in science. Here is what the mission actually funds, how its five National Science and Technology Challenges map to real solicitations already opening, and how a research team or small business should position for the money flowing out of it.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
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