Project Grant R01EB039836
- The National Cancer Institute awarded The Johns Hopkins University $249,000 on January 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop large-scale artificial intelligence using radiomics, deep learning, and physics-based generative modeling to improve clinical outcomes in nuclear medicine. The award funds three specific aims: construction of a large database of clinical positron emission tomography/computed tomography images with physician-annotated...
- The National Institutes of Health National Cancer Institute awarded Cedars-Sinai Medical Center $1,043,190 on September 12, 2025, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop an artificial intelligence model for early-stage pancreatic ductal adenocarcinoma detection in abdominal computed tomography scans. The recipient will develop and enhance an AI tumor detection model focused on small pancreatic tumors through three major enhancements: analyzing CT...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Trustees of Columbia University in the City of New York $845,446 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a scalable artificial intelligence framework for early detection of multiple cancers using electronic health records foundation models. The award funds three principal aims: development of a generalizable...
- 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 Northwestern University $107,425 on August 5, 2026, to develop CYST-SUITE, a federated artificial intelligence tool for pancreatic cyst management and risk stratification. CYST-SUITE will analyze CT and MRI scans of the pancreas to segment pancreatic tissue and cysts, classify cyst type from six common varieties, and estimate malignant transformation risk. The tool employs federated learning to train on thousands of...
- The National Cancer Institute (part of the National Institutes of Health under the Department of Health and Human Services) awarded New York University School of Medicine $700,171 on July 16, 2026, to advance deep learning models for clinically significant prostate cancer detection on magnetic resonance imaging. The funded research addresses three specific aims: training a robust deep learning model on diverse imaging datasets to ensure consistent performance across multiple scanners, protocols,...
- The National Institutes of Health National Cancer Institute awarded The Leland Stanford Junior University $660,346 on July 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop multi-vendor artificial intelligence models that assist clinicians in targeting prostate cancer during ultrasound-only biopsies. The project, titled "Real-Time Prostate Cancer Detection on B-Mode Conventional and Micro-Ultrasound for Targeting Clinically Significant Cancer During...
- 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 Cancer Institute awarded The Johns Hopkins University $399,829 on July 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop Vascular Expansion Microscopy (VascExM), a method for high-resolution optical imaging of brain vasculature at endothelial cell scale on standard, diffraction-limited microscopes. The work addresses the need for sub-micron vascular imaging in preclinical and clinical neuropathology samples. The recipient will develop...
- The National Cancer Institute awarded The Johns Hopkins University $645,435 on September 2, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop a multimodal blood-based classifier for early hepatocellular carcinoma (HCC) detection. The research integrates genome-wide methods—fragmentomics (DELFI), repeat landscapes (ARTEMIS), methylomics, mutational signatures (GEMINI), and plasma proteomics—into a single machine learning classifier to improve HCC...
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 together cause more than 113,000 deaths annually in the United States. The project leverages the existing volume of routine CT imaging—more than 85 million scans per year in clinical practice—to create an early-warning detection system that identifies high-risk individuals months before clinical recognition, enabling clinicians to intervene sooner. Performance will occur in Baltimore, Maryland, with a period of performance through May 31, 2030. The award is structured as a Project Grant, the standard assistance type for investigator-initiated research under NIBIB's portfolio.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $622.0k | 8/12/26 |