Project Grant R01EB038746
- 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 Grant Award Summary Mayo Clinic received an $887,700 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), with an award date of August 13, 2025, and completion date of July 31, 2027. This grant supports research and development of g-quadruplex-based supramolecular assemblies designed to function as activatable contrast agents...
- Federal Project Grant Award Summary Mayo Clinic received a $711,342 Project Grant award effective July 1, 2025, through June 30, 2030, from the National Institute on Deafness and Other Communication Disorders (NIDCD) under the Research Related to Deafness and Communication Disorders program (CFDA 93.173). The award funds development of high-resolution clinical imaging techniques for inner ear diagnostics using photon-counting detector computed tomography (PCD-CT) and artificial intelligence (AI)...
- Federal Grant Award Summary Mayo Clinic received a $676,067 Project Grant from the National Cancer Institute under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) awarded on March 13, 2026, with a completion date of February 28, 2031. This project addresses thyroid cancer overdiagnosis by developing and validating artificial intelligence (AI) and natural language processing (NLP) systems to identify and characterize incidental thyroid nodules (ITNs) in imaging reports. The...
- Federal Grant Award Summary PulseImaging.ai, LLC received a $304,415 Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837), effective August 15, 2025, with completion targeted for August 14, 2026. The award supports development of artificial intelligence (AI) software that predicts future cardiovascular events by analyzing coronary calcium score (CTCS) computed tomography images. The solution employs...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded University of California, Davis a $616,033 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 award supports the development and application of a novel PET-enabled dual-energy computed tomography (DECT) imaging method that combines positron emission...
- Federal Project Grant Award Summary Mayo Clinic received a $390,852 Project Grant award from the National Institute of Environmental Health Sciences under the Medical Library Assistance program (CFDA 93.879) on September 9, 2025, with a completion date of July 31, 2029. The grant supports a multicenter randomized clinical trial investigating virtual world-based cardiac rehabilitation interventions designed to promote data-powered cardiovascular health outcomes among cardiac patients. This...
- Federal Grant Award Summary The National Heart, Lung, and Blood Institute (NHLBI) awarded Mayo Clinic a Project Grant totaling $188,136 on September 15, 2025, under the Cardiovascular Diseases Research program (CFDA 93.837) to support a mentored career development initiative through August 31, 2030. Dr. Chieh-Ju Chao will receive training and mentorship from leading experts in artificial intelligence (AI) and medical imaging to develop an artificial intelligence-enabled echocardiography...
- 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 Project Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded The Washington University a $598,134 Project Grant on August 5, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop sensing collimator technology for ultrasensitive Single Photon Emission Computed Tomography (SPECT) imaging of targeted radiopharmaceutical therapies. The four-year project, concluding...
Federal Project Grant Award Summary Mayo Clinic received a $625,527 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), awarded effective April 1, 2026, with a completion date of March 31, 2030. The grant supports research to overcome critical limitations in non-invasive coronary artery imaging using next-generation photon-counting detector computed tomography (PCD-CT) combined with artificial intelligence. The project addresses three primary technical challenges: excessive image noise in high-spatial-resolution imaging, motion artifacts that remain problematic despite current temporal resolution capabilities, and limited spectral separation resulting from charge-sharing properties in photon-counting detectors that compromise plaque characterization accuracy. The research deliverables focus on developing innovative solutions to enhance PCD-CT diagnostic capability for coronary artery disease assessment, particularly in challenging clinical scenarios such as emergency department settings where patient motion and arrhythmias are common. Mayo Clinic's research team proposes implementing coincidence counting technologies in partnership with detector and scanner manufacturers to improve material decomposition accuracy and plaque characterization while controlling image noise and motion artifacts. These technological advances are intended to enable robust quantification of luminal stenosis and visualization of high-risk plaque features, thereby improving the clinical utility of PCD-CT imaging across all patient populations with varying baseline conditions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 4/6/26 | ||
| Not listed | $625.5k | 3/26/26 |