Project Grant R01CA300103
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded University of California, Los Angeles a $640,956 Project Grant on May 15, 2026, under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) to develop an artificial intelligence-enhanced perfusion magnetic resonance imaging (MRI) tool for optimizing yttrium-90 (Y90) microsphere distribution in radioembolization treatment of liver cancer. The project, which extends through April 30, 2031, will deliver an...
- Federal Project Grant Award Summary The National Cancer Institute awarded a $825,627 Project Grant to the University of California, Los Angeles, effective May 1, 2026, through April 30, 2031, under the Cancer Cause and Prevention Research program (CFDA 93.393). The award funds development of advanced computational models designed to improve breast cancer prognosis by integrating whole slide imaging (WSI) pathology data with clinical prognostic factors. The research deliverables include: (1)...
- Federal Project Grant Award Summary The National Cancer Institute awarded a $382,449 Project Grant to the University of California, Los Angeles under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on July 16, 2025, with completion targeted for June 30, 2027. This research project develops and validates advanced dual-nuclei magnetic resonance imaging (MRI) techniques to non-invasively differentiate between recurrent brain metastases (RBM) and radiation-induced necrosis (RN)...
- Federal Grant Award Summary The University of California, Los Angeles (UCLA) received a $518,451 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on June 2, 2026, with a completion date of May 31, 2031. This five-year research initiative, titled "Leveraging Multimodal Signatures to Personalize Rectal Cancer Radiotherapy Choice," aims to develop and validate innovative approaches for personalizing...
- 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...
- Federal Project Grant Award Summary The University of California, Los Angeles received a $640,597 Project Grant from the National Cancer Institute under the Cancer Detection and Diagnosis Research program (CFDA 93.394) effective June 1, 2026, through May 31, 2031. The award supports research focused on characterizing and therapeutically targeting pH-regulatory mechanisms in glioblastoma (GBM), a highly aggressive brain cancer with poor survival outcomes. The primary deliverable is the...
- Federal Project Grant Award Summary The University of California, San Francisco (UCSF) received a $718,456 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 July 1, 2025, with a completion date of May 31, 2029. This four-year research initiative focuses on developing an artificial intelligence (AI) system capable of automated,...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded The Leland Stanford Junior University a $395,973 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on June 9, 2026, with performance completion targeted for May 31, 2028. The award funds development and validation of an augmented reality (AR) surgical guidance system designed to improve breast cancer lumpectomy outcomes by projecting volumetric magnetic resonance imaging (MRI) data...
- Federal Grant Award Summary New York University School of Medicine received a $681,215 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) beginning September 1, 2025 and concluding August 31, 2030. The project aims to develop artificial intelligence (AI)-enabled magnetic resonance (MR) imaging technology to support point-of-care prostate cancer detection at the population level. The research challenges conventional...
- Federal Grant Award Summary The National Cancer Institute awarded a $409,141 Project Grant to the University of California, Davis under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) for the period June 1, 2026 through May 31, 2028. The project focuses on developing and validating contrast-enhanced perfusion computed tomography (CT) as an alternative diagnostic imaging methodology for liver radioembolization treatment planning. Currently, patients undergoing selective internal...
The University of California, Los Angeles received a $761,691 Project Grant from the National Cancer Institute under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) awarded on June 15, 2026, with completion by May 31, 2031. This research initiative delivers a real-world randomized controlled trial (RCT) evaluating the comparative effectiveness of artificial intelligence-based computer-aided detection tools in 3D mammography screening. The study conducts a two-year pragmatic RCT encompassing over 154,000 screening exams across 16 breast imaging facilities in two geographic regions, assessing mammography interpretation with and without artificial intelligence assistance. Primary deliverables include performance metrics on cancer detection rates and recall rates, with secondary outcomes measuring biopsy rates, biopsy yield, and short-interval follow-up recommendations, while incorporating gold-standard outcome validation through linkage to state cancer registries. This grant addresses a critical evidence gap in clinical practice, as prior computer-aided detection tools for 2D mammography were deployed without prospective RCT validation, resulting in adverse patient outcomes and increased costs. By generating rigorous, real-world evidence on healthcare quality, health services effectiveness, and patient outcomes at the patient, exam, and radiologist levels, the research provides the first prospective evaluation of an FDA-cleared artificial intelligence tool for 3D mammography in U.S. clinical practice, informing broader adoption decisions and establishing evidence standards for emerging artificial intelligence-based diagnostic technologies in cancer screening.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $761.7k | 6/16/26 |