Project Grant R01EB039835
- 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 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 Cancer Institute awarded The Trustees of Columbia University in the City of New York $594,297 on June 18, 2026, to develop elasticity imaging methodologies for breast cancer detection and treatment monitoring under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The award funds two noninvasive theranostic approaches: Harmonic Motion Imaging (HMI) for monitoring locally advanced malignant tumors during neo-adjuvant chemotherapy, and HMI-guided focused ultrasound...
- 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 The Trustees of Columbia University in the City of New York $428,975 on April 17, 2026, for Project Grant R01CA310281 under the Cancer Detection and Diagnosis Research program (CFDA 93.394). Columbia will develop DECODE (Deciphering Cancer Origin from DNA Evolution), a novel computational approach for reconstructing tumor evolution from DNA sequencing data to predict patient outcomes and facilitate risk stratification and...
- The National Cancer Institute awarded The University of Chicago $249,000 on April 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop explainable artificial intelligence models for predicting early-stage melanoma recurrence through integrative analysis of multiplexed tissue imaging, spatial transcriptomics, and clinical histopathology data. The research addresses the gap between current inadequate prognostic tools and the clinical need to identify...
- The National Cancer Institute, within the Department of Health and Human Services, awarded The Leland Stanford Junior University $606,756 on August 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The award funds development and validation of foundation model-augmented artificial intelligence tools to enable accurate and efficient image guidance in upright proton therapy for lung cancer treatment. The research will create a vision-language framework for...
- The National Cancer Institute awarded the Institute For Systems Biology $555,592 on September 1, 2026, under the Cancer Cause and Prevention Research program (CFDA 93.393) to develop AI-driven infrastructure for integrating and analyzing cancer datasets and identifying cancer risk factors. The recipient will construct a multi-modal, harmonized resource for the tumor microenvironment featuring an AI-powered spatial search tool. Using spatial datasets from the Human Tumor Atlas Network (HTAN), the...
- Federal Grant Award Summary The National Cancer Institute awarded a $371,161 Project Grant to the University of Colorado-Denver under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) on September 1, 2025, for a two-year performance period concluding August 31, 2027. The award funds the development of artificial intelligence (AI) algorithms designed to improve cervical cancer screening in low-resource settings. Specifically, the project will create advanced AI risk stratification...
- 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...
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 EHR foundation model leveraging the largest national-scale EHR database (EPIC COSMOS); a multi-cancer risk prediction pipeline to identify high-risk patients earlier and enable targeted follow-up such as triage screening and diagnostic testing; and an interactive explanation platform supporting clinician follow-up queries. The recipient will develop a portable COSMOS-proxy model by fine-tuning pretrained architectures across two additional independent EPIC sites and evaluate cross-system generalizability using data from the Veterans Affairs health system. The work addresses cancers that currently lack recommended screening guidelines and account for nearly 50 percent of cancer diagnoses and 60 percent of projected cancer deaths in the United States. Work is performed in New York, New York, with a period of performance extending from September 1, 2026, through July 31, 2030. This is a Project Grant, a form of assistance funding supporting hypothesis- and technology-driven research in biomedical imaging and bioengineering.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $845.4k | 8/25/26 |