Project Grant R01EB038350
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded the Regents of the University of Minnesota a Project Grant of $531,021 under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award, effective April 10, 2026, with completion targeted for January 31, 2030, supports technology development for whole brain functional and structural connectivity mapping at 10.5 Tesla (10.5T)...
- Federal Project Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded $471,967 to the Regents of the University of Minnesota on May 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). This project grant supports the development of dual density-dependent molecular AND gate binders—engineered bispecific targeting ligands designed to selectively bind cells expressing high...
- Federal Grant Award Summary The Division of Information and Intelligent Systems (CISE-IIS) at the National Science Foundation awarded the Regents of the University of Minnesota a $600,000 Project Grant (CFDA 47.070: Computer and Information Science and Engineering) beginning February 1, 2026 and concluding January 31, 2029. This award supports the development of a federated learning framework designed to improve rare disease recognition, specifically focusing on ciliopathies. The research...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded the University of Pennsylvania a Project Grant of $653,230 on August 6, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The project, titled "Advancing Neurosymbolic AI for Smart and Trustworthy Healthcare," will develop MED-SCALLOP, a novel neurosymbolic artificial intelligence methodology and software...
- Federal Grant Award Summary The Regents of the University of Minnesota received a $220,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective August 1, 2025, through July 31, 2027. This collaborative research initiative will develop generative artificial intelligence (AI) methodologies and computational tools designed to accelerate drug discovery and...
- Federal Project Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $696,824 Project Grant to the University of North Carolina at Chapel Hill on August 11, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The project, spanning through June 30, 2029, will develop a novel robust and interpretable multi-modal artificial intelligence/machine learning (AI/ML) framework designed...
- Federal Project Grant Award Summary The University of Minnesota received a $333,290 Project Grant from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), effective March 1, 2026, through February 28, 2031. The award supports the development of a comprehensive analytical framework for integrating multi-source, multi-way, and multi-cohort high-throughput biomedical data. The research team will create flexible...
- Federal Grant Award Summary Mayo Clinic received a $641,063 Project Grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), effective August 1, 2025, with completion targeted for May 31, 2029. The award supports development of a Dynamic Patient Data Library and Virtual Imaging Trial (DICOM-CTPD-VIT) platform designed to advance deep learning...
- Federal Project Grant Award Summary Harvard Medical School received a $742,261 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), effective August 5, 2025, with completion targeted for May 31, 2029. The project delivers three interconnected technological innovations for enhanced head computed tomography (CT) scan interpretation:...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded Illinois Institute of Technology a $1.77 million Project Grant effective July 1, 2025, through March 31, 2029, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The grant supports the development and clinical validation of domain-aware anthropomorphic model observers (AMO)—deep learning systems designed to substitute for...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded the Regents of the University of Minnesota a $654,117 Project Grant (CFDA 93.286: Discovery and Applied Research for Technological Innovations to Improve Human Health) effective April 1, 2026, through March 31, 2030. The project addresses the critical challenge of ensuring safe, effective, and trustworthy artificial intelligence (AI) deployment across U.S. healthcare delivery organizations. The University of Minnesota will conduct mixed-methods research to identify barriers and mitigation strategies for AI capability development tailored to different organizational contexts, including large health systems and small community health centers. This work directly responds to evidence indicating that over half of U.S. hospitals deploying AI are not conducting robust local evaluation of their tools, creating a digital divide that threatens patient safety. The research deliverables will include analysis of high-impact AI use cases and evidence-based tools designed to enable healthcare organizations of varying technological capacity, financial resources, and infrastructure to safely and effectively implement AI applications across clinical areas. By developing organization-specific AI governance standards, routines, and resources, the project will provide actionable guidance to healthcare systems nationwide, ultimately supporting the safe and trustworthy integration of AI technologies in clinical decision-making, risk prediction, appointment scheduling, billing, and other healthcare delivery functions.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $654.1k | 3/30/26 |