Project Grant R01EB039789
- Federal Grant Award Summary The University of Pennsylvania received a $446,875 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 September 1, 2025, with completion scheduled for August 31, 2027. The project deliverables focus on developing deep learning tools to advance the diagnosis and prognosis of Metabolic...
- The National Cancer Institute awarded The Trustees of The University of Pennsylvania $672,995 on August 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop a high-performance brain PET scanner operating in tandem with a total-body PET system for oncologic imaging applications. The project, designated R01CA308968, runs through July 31, 2031, with place of performance in Philadelphia, Pennsylvania. The University of Pennsylvania, in partnership with Siemens,...
- The National Institute of Biomedical Imaging and Bioengineering awarded Duke University $1,523,343 on March 10, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop four-dimensional smart epidermal photoacoustic tomography (4D-SEPAT) technology for real-time, longitudinal functional brain imaging in behaving non-human primates. The 4D-SEPAT system integrates soft ultrasound transducer arrays with integrated shape...
- 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 Biomedical Imaging and Bioengineering awarded The Washington University $119,818 on July 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop AI-powered gradient echo plural contrast imaging (AI-GEPCI) technology for early detection and monitoring of progressive multiple sclerosis. The award funds development of an integrated neuroimaging platform that combines deep learning with...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering awarded The Johns Hopkins University a $477,360 Project Grant on August 14, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to enhance the robustness and accessibility of open-source, vendor-neutral magnetic resonance imaging (MRI) technology through the Pypulseq platform. The project, concluding July 31, 2027, delivers three...
- The National Institutes of Health Office of the Director awarded The Trustees of The University of Pennsylvania $771,875 on September 1, 2026, under the Trans-NIH Research Support program (CFDA 93.310) to advance synthetic biology approaches for directing tissue assembly and organoid engineering. The research program maps molecular features of cell adhesion molecules to adhesion strength, trains machine learning models to predict molecular organization from molecular inputs, and applies these...
- The National Institutes of Health Office of the Director awarded the University of Pennsylvania $1,264,944 on July 15, 2026, under the Research Infrastructure Programs (CFDA 93.351) to upgrade its Siemens whole-body 7T TERRA MRI system to the TERRA.X platform at its Center for Advanced Magnetic Resonance Imaging and Spectroscopy (CAMRIS) in Philadelphia. The upgrade includes advanced hardware and software enhancements: AI-powered deep resolve technology, IQ technology, online motion...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Children's Hospital Corporation (Boston Children's Hospital) $267,000 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop and expand the Fetal and Neonatal Development Imaging (FEDI) open-source software platform for analyzing early brain development via magnetic resonance imaging. The project addresses a critical gap in...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded The Johns Hopkins University a $428,152 Project Grant under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) for the period September 1, 2025 through August 31, 2027. The award supports development and validation of diffusion-model-enabled computational observers designed to evaluate the clinical diagnostic task performance of...
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 archives; integrating a curated library of AI-based segmentation models, including foundation models for interactive segmentation trained on large multi-domain datasets that convert iterative 2D prompts into complex 3D segmentations; and implementing efficient domain adaptation strategies to continuously improve interactive segmentation model performance based on user interactions. The work also extends the platform to support longitudinal imaging and evaluation in the context of emerging Alzheimer's disease therapeutics. Performance occurs in Philadelphia, Pennsylvania. The period of performance runs from September 1, 2026, through August 30, 2030. This project grant funds investigator-initiated research addressing a structural gap: commercial end-user tools for AI-driven medical image analysis are expensive and narrowly focused, while many clinical researchers and clinicians lack computational expertise to discover and utilize the latest algorithmic advances. ITK-SNAP, with over one million downloads and thousands of citations, provides an established platform familiar to clinical researchers across multiple imaging modalities, biological systems, and medical specialties.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $638.8k | 9/2/26 |