Project Grant R16EB039671
- The National Institute of Biomedical Imaging and Bioengineering awarded the University of Washington $873,881 on May 8, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a low-cost, computer vision–based navigation system for endoscopic sinus surgery. The recipient will develop a vision-based surgical navigation platform designed to reduce hardware costs and democratize access to image-guided surgery by...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Johns Hopkins University $126,388 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop directional beamforming auscultation technologies for enhanced diagnosis of cardiopulmonary diseases. The project introduces three innovations to advance auscultation beyond traditional stethoscopes: novel acoustic directional imaging to...
- The National Institute of Biomedical Imaging and Bioengineering awarded Rensselaer Polytechnic Institute $366,006 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a simulation-based inference framework that transforms functional near-infrared spectroscopy (fNIRS) data analysis through artificial intelligence. The project delivers a biophysically detailed simulator integrating realistic models...
- The National Institute of Biomedical Imaging and Bioengineering awarded the University of Pennsylvania $638,835 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to transform ITK-SNAP, an open-source medical image segmentation platform, into a modern AI-assisted tool. The award funds three primary objectives: modernizing ITK-SNAP's graphical user interface and enabling seamless access to remote imaging...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Johns Hopkins University $621,956 on August 12, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop artificial intelligence algorithms that detect very small pancreatic, hepatobiliary, and upper gastrointestinal cancers in computed tomography scans. The research addresses the late-stage detection problem in these disease categories, which...
- The National Institute of Allergy and Infectious Diseases awarded The Johns Hopkins University $427,313 on February 20, 2026, under the Allergy and Infectious Diseases Research program (CFDA 93.855) to investigate tertiary lymphoid structures in eosinophilic chronic rhinosinusitis with nasal polyps. The research examines the mechanisms of type 2 inflammation in this recalcitrant disease and the basis of disease recurrence following discontinuation of dupilumab therapy. The central hypothesis...
- The National Institute of Biomedical Imaging and Bioengineering awarded the University of Texas at Arlington $378,411 on April 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop super-resolution tomographic imaging technology for deep tissue visualization. The project aims to overcome diffraction limits inherent in existing super-resolution imaging modalities—including super-resolution fluorescence...
- The National Institute on Deafness and Other Communication Disorders awarded The Johns Hopkins University $573,587 on July 6, 2026, under the Research Related to Deafness and Communication Disorders program (CFDA 93.173) to develop 7 Tesla MRI techniques for comprehensive inner ear imaging. The project develops clinical 7T MRI protocols to visualize inner ear structures with approximately five times the spatial resolution of current 3T MRI, enabling visualization of membranes and sensory patches...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Johns Hopkins University $507,987 on April 23, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop scintillator-based photon counting detectors for X-ray computed tomography systems. The research addresses cost and image quality barriers in photon counting detector CT technology by replacing semiconductor-based detectors with...
- The National Institute of Biomedical Imaging and Bioengineering awarded Arizona State University $183,307 on June 3, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a pneumatically controlled radiofrequency coil for multinuclear magnetic resonance imaging and spectroscopy applications at 7 Tesla field strength. The funded research addresses technical challenges in multinuclear MRI and MRS by designing a novel...
The National Institute of Biomedical Imaging and Bioengineering, part of the Department of Health and Human Services National Institutes of Health, awarded Towson University $211,406 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop and validate AIRS (Artificial Intelligence-powered Rhinosinusitis Scoring), a clinically deployable system for automated, quantitative analysis of sinus CT scans in chronic rhinosinusitis patients. AIRS integrates deep learning, computational fluid dynamics, and secure cloud deployment to overcome reproducibility and clinical alignment limitations in current CT-based disease assessment. The three-aim project establishes robust AI-driven segmentation tools on de-identified sinus CT datasets; integrates segmentations into a CFD pipeline to generate patient-specific physiologic biomarkers including airflow resistance, pressure gradients, and flow patterns, with surrogate models for rapid inference; and delivers a HIPAA-compliant cloud platform enabling clinical investigators to upload scans, receive automated segmentations and physiologic assessments, and export results in standardized formats (DICOM, CSV, JSON). Validation uses the UNC dataset across multiple CT scanners and acquisition protocols with cross-platform testing to confirm robustness in different computing environments and PACS-integrated workflows. The award runs from September 1, 2026, through June 30, 2030, with place of performance in Towson, Maryland. Towson University is a subsidiary of the University System of Maryland.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $211.4k | 8/25/26 |