Project Grant R01CA303795
- 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 Project Grant Award Summary The National Cancer Institute, under the Cancer Cause and Prevention Research program (CFDA 93.393), awarded the University of California, Los Angeles $825,627 beginning May 1, 2026, to develop advanced machine learning models for improving breast cancer prognosis prediction. The project, titled "Vision-Language Models with Explainability for Breast Cancer Prognosis Using Image and Clinical Data," will deliver three primary research products: (1)...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded The Regents of the University of California, San Francisco a $700,838 Project Grant under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) beginning April 1, 2026 and concluding March 31, 2031. This award supports the development and optimization of advanced magnetic resonance (MR) imaging and treatment planning methodologies to enable functional avoidance stereotactic body radiation therapy (FA-SBRT) for...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded a Project Grant of $640,597 to the University of California, Los Angeles, effective June 1, 2026 through May 31, 2031, under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The research program develops and validates amine chemical exchange saturation transfer echo-planar imaging (CEST-EPI), a pH-sensitive magnetic resonance imaging technique designed to enable high-resolution visualization of...
- 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 University of California, Davis a $409,141 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) for the period June 1, 2026 through May 31, 2028. This project develops and validates contrast-enhanced perfusion computed tomography (CT) as an alternative diagnostic imaging methodology to streamline the pre-treatment workup for selective internal radiation therapy (SIRT) in liver cancer...
- Federal Project Grant Summary The National Cancer Institute awarded the University of California, Los Angeles a $649,181 Project Grant on August 8, 2025, under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) to develop advanced chemoproteomics technologies for covalent drug target discovery. The grant funds the establishment of high-throughput multidimensional chemoproteomics platforms designed to identify and characterize cysteine residues in cellular proteins that can be...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded a $414,402 Project Grant to The Regents of the University of California, San Francisco under the Cancer Treatment Research program (CFDA 93.395) for the period May 1, 2026 through April 30, 2028. This research project develops multi-modality imaging and biomarker integration methods to improve glioblastoma radiation therapy targeting. The deliverables include: (1) white matter infiltrative risk maps derived from diffusion...
- Federal Grant Award Summary The National Cancer Institute awarded a $712,375 Project Grant to the University of California, Berkeley under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) effective April 1, 2026 through March 31, 2031. The award funds development of the ADAPT PRO system, a single, universal, and digitally programmable radiofrequency (RF) system that enables Magnetic Resonance Imaging (MRI) of any nucleus beyond the standard hydrogen-1 (¹H) nucleus. The system...
- Federal Grant Award Summary The University of California, San Francisco (UCSF) received a $729,587 Project Grant from the National Cancer Institute under the Cancer Treatment Research program (CFDA 93.395) awarded August 21, 2025, with completion targeted for July 31, 2030. The project aims to develop a personalized, voxel-wise predictive model for identifying brain metastases risk in non-small cell lung cancer adenocarcinoma patients using multi-parametric magnetic resonance imaging. The...
The University of California, Los Angeles received a $640,956 Project Grant from the National Cancer Institute under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) awarded on May 15, 2026, with a completion date of April 30, 2031. This grant supports the development of an artificial intelligence-enhanced perfusion magnetic resonance imaging (MRI) tool designed to optimize yttrium-90 (Y90) microsphere distribution in radioembolization treatment for primary and secondary liver cancer. The primary deliverable is an advanced imaging biomarker that leverages AI-optimized perfusion analyses and biological models of liver flow dynamics to predict Y90 microsphere distribution with greater accuracy than current clinical methods, addressing the current limitation of labor-intensive and flow-dynamics-insensitive approaches using technetium-99m-labeled macro-aggregated albumin tracking. The project will be executed through two main objectives: (1) development of an AI-optimized liver perfusion analysis tool utilizing routine clinical dynamic contrast-enhanced MRI scans with advanced deep learning capabilities, integrated with a physical model of particle flow for accurate microsphere distribution prediction, and (2) in vivo validation of the developed AI-enhanced imaging biomarker. Preclinical evaluation will be conducted using patient-derived liver tumor phantoms to enable precision measurements of the MRI-based perfusion protocol. Upon completion, this research is expected to provide interventional radiologists and oncologists with an advanced tool to improve treatment planning and reduce the current user-dependency inherent in radioembolization procedures.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $641.0k | 5/15/26 |