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Find similar grantsMayo Clinic-ASU Seed Grant Program is sponsored by Mayo Clinic and Arizona State University. Funds collaborative research projects, including those focused on organ transplantation.
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2025 Mayo Clinic-ASU seed grant recipients to probe Alzheimer’s, organ transplants and more | ASU News 2025 Mayo Clinic-ASU seed grant recipients to probe Alzheimer’s, organ transplants and more A newly funded Mayo Clinic-ASU seed grant project will work on developing an automated tool to improve the success of organ transplants.
Photo by Samantha Chow/Arizona State University Markers of early-stage Alzheimer’s disease can appear in scans of the retina long before clinical symptoms arise — how do we develop a noninvasive, scalable screening tool that supports earlier intervention and diagnosis with this information? Can using AI help enhance the precision and efficiency of organ transplants?
Can we develop more stable, cost-effective and precise vaccines to help the body fight off cancer? These are but a fraction of the questions being researched by the 11 grant team recipients of the 2025 Mayo Clinic and Arizona State University Alliance for Health Care Seed Grant Program. Through the program, ASU researchers and Mayo Clinic experts kick-start joint research projects and build a foundation to attract additional funding.
When awarding grants, the program considers projects that encompass the following factors: transforming the health care workforce, optimizing health and the human body, and establishing connected health care delivery and biomedical innovation. Among these key elements, the project should demonstrate meaningful collaboration between investigators at ASU and Mayo Clinic.
Hear from a few of the grant winners on how they plan to use this funding to transform health care in collaboration with their Mayo Clinic counterparts. Sui Yang , assistant professor at ASU's School for Engineering of Matter, Transport and Energy, said: “This seed grant allows us to push the boundaries of medical imaging by transforming a simple endoscope into a powerful, high-resolution tool.
By harnessing cutting-edge metalens technology, we aim to make hidden signs of gastrointestinal disease visible earlier than ever before. "Early detection saves lives, and this support helps us move one step closer to a future where cancer and other pathologies are caught before they become life-threatening.
” More successful organ transplants Xiao Liu , assistant professor in ASU's Department of Information Systems, said: “Virtual crossmatching (VXM) is a critical piece of organ transplantation as it predicts which donor-recipient pairs have the highest success for compatibility and long-term graft survival. This grant allows us to develop an automated tool to improve the clinical performance of VXM.
"Our project will provide clinical decision support for compatibility assessment and long-term graft survival prediction, which can offload tedious manual record review, stabilize the workload, reduce stress and burnout among consultant staff, and ensure the timely delivery of VXM reports critical to the organ transplant program, while also reducing costs.
” Peter Sulc , associate professor at ASU's School of Molecular Sciences, said: "We will create a universal platform for rapid, personalized dendritic cell vaccines designed to safely activate powerful anti-tumor immunity in cancer patients."
2025 seed grant projects and their lead investigators Artificial intelligence-assisted digital, living, interactive clinical practice guidelines for cancer providers and patients: Vivek Gupta, PhD, ASU; Bassam Sonbol, MD, Mayo Clinic.
Auto-antibodies to neoantigens in pancreatic cancer for early cancer detection: Lusheng Song, ASU; Richard Bold, MD, MBA, Mayo Clinic Development of an automated tool to optimize the clinical outcomes in solid organ transplantation: Xiao Liu, PhD, ASU; Katrin Hacke, PhD, Mayo Clinic.
Engineering nanoparticle systems to modulate leptin synthesis and adipocyte metabolism: Sarah Stabenfeldt, PhD, ASU; Eleanna De Filippis, MD, PhD, Mayo Clinic. High-resolution metalens cap for enhanced live endoscopy in detection of gastrointestinal pathologies: Sui Yang, PhD, ASU; Suryakanth Gurudu, MD, Mayo Clinic.
Magnetic-field assisted liquid embolics: A breakthrough approach to safer aneurysm treatment: Brent Vernon, PhD, ASU; Hakan Ceylan, PhD, Mayo Clinic. Novel retinoid development and ex-vivo single cell analysis with response prediction for refractory mycosis fungoides Carl Wagner, PhD, ASU; Aaron Mangold, MD, Mayo Clinic.
PREDICT-BC: Precision response evaluation using deep imaging and clinical transfer-learning for bladder cancer: Asif Salekin, PhD, ASU; Parminder Singh, MD, Mayo Clinic. Retinal imaging-based deep learning model to predict Alzheimer’s disease in presymptomatic stages: Yalin Wang, PhD, ASU; Oana Dumitrascu, MD, Mayo Clinic.
Self-assembling real-time RNA nanoparticle dendritic cell vaccines (SMART-DC-VAC): Petr Sulc, PhD, Mayo Clinic; Michael Gustafson, PhD, Mayo Clinic. Targeting the dysregulation of immune-epithelia development in early life to prevent CRC initiation: Miyeko Mana, PhD, ASU; Fotini Gounari, PhD, Mayo Clinic.
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According to the current listing, eligibility includes: Universities and research institutions. Confirm the full requirements in the official notice before applying.
Mayo Clinic-ASU Seed Grant Program is funded by Mayo Clinic and Arizona State University. 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.
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.
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.
The Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read articleDARPA's DIAL program already had AI rediscover the Kalman filter and wavelets from scratch. SPEED DIAL (DPA26TZ05-DV003) funds the unglamorous next step: turning algorithm discovery into a tool that plugs into MATLAB, Simulink, and COMSOL. Up to $750,000 base plus a $1.25 million option, Direct to Phase II only, with a three-accomplishment feasibility gate and a mandatory university partner. Here is the milestone schedule, the interpretability requirement, and who is actually eligible.
Read articleGates committed $540.2 million over a decade to the Institute for Health Metrics and Evaluation — the largest gift in University of Washington history — while IHME's federal grant income falls from $7.3 million to a projected $4.8 million. The gift is a case study in the anchor-funder model: what it can do that federal money cannot, and the concentration risk it quietly underwrites.
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