Project Grant R01CA305931
- Federal Grant Award Summary Mayo Clinic received a $367,731 Project Grant from the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research program (CFDA 93.393), awarded May 12, 2026, with a completion date of April 30, 2031. The grant supports research investigating ADAR1 (Adenosine Deaminase Acting on RNA 1) protein's role in DNA replication and its potential as a therapeutic target for breast cancer treatment. The research focuses on the nuclear ADAR1P110 isoform's...
- Federal Project Grant Award Summary Mayo Clinic received a $676,067 Project Grant award from the National Cancer Institute under the Cancer Detection and Diagnosis Research program (CFDA 93.394), effective March 13, 2026, with a completion date of February 28, 2031. The award funds research to address thyroid cancer overdiagnosis by developing and validating artificial intelligence (AI) and natural language processing (NLP) systems to identify and characterize incidental thyroid nodules (ITNs)...
- Federal Grant Award Summary Mayo Clinic received a $756,906 Project Grant from the National Heart, Lung, and Blood Institute (NHLBI) under the Cardiovascular Diseases Research program (CFDA 93.837) effective September 1, 2025, through June 30, 2029. The award supports "A Population-Based Study of Deep Learning Measures of Breast Arterial Calcification for Improving Women's Health Using Repurposed Mammogram Images," which leverages artificial intelligence algorithms to detect and...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded H. Lee Moffitt Cancer Center and Research Institute Hospital, Inc., a Project Grant of $734,942 under the Cancer Cause and Prevention Research program (CFDA 93.393) effective August 1, 2025, through July 31, 2030. This project addresses cardiovascular disease (CVD) risk in breast cancer survivors by generating novel DNA methylation biomarker data from the Pathways Study, a prospective cohort of 4,504 women diagnosed with...
- The National Cancer Institute (NCI) has awarded a $572,490 Project Grant to The Regents of the University of California, San Francisco (UCSF) under the federal Cancer Detection and Diagnosis Research program (CFDA 93.394). The project, titled "PILLAR: Multi-Modal Imaging AI Models for Breast Cancer Risk", aims to develop an AI-powered tool to predict breast cancer risk using longitudinal data from mammograms, tomosynthesis, and MRI scans. The goal is to create more accurate cancer risk...
- 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 Mayo Clinic received a $484,803 Project Grant award from the National Cancer Institute under the Cancer Cause and Prevention Research program (CFDA 93.393) effective August 18, 2025, with completion scheduled for July 31, 2030. This research initiative focuses on elucidating glioma risk and improving patient outcomes by integrating germline and somatic genetics analysis. The project addresses critical gaps in understanding the functional relevance of 30 known germline...
- Federal Grant Award Summary The National Cancer Institute awarded a $425,573 Project Grant to Magee-Womens Research Institute and Foundation under the Cancer Treatment Research program (CFDA 93.395) for the period of July 1, 2025 through June 30, 2027. The grant funds research to identify specific gut bacteria species, metabolites, and metabolic pathways associated with mammographic breast density (MBD) as a modifiable risk factor for breast cancer prevention. The research will employ...
- Federal Grant Award Summary Mayo Clinic received a $641,063 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), effective August 1, 2025, with completion targeted for May 31, 2029. The award supports development of a Dynamic Patient Data Library and Virtual Imaging Trial (DICOM-CTPD-VIT) platform designed to advance deep learning...
- Federal Grant Award Summary The National Cancer Institute awarded Sloan-Kettering Institute for Cancer Research a $452,540 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on July 11, 2025, with a completion date of June 30, 2027. This award supports the development of a novel T-cell imaging paradigm utilizing positron emission tomography (PET) agents targeting CD8 and CD4 markers to provide real-time monitoring of endogenous T-cell trafficking, tumor...
Award Summary Mayo Clinic received a $722,914 Project Grant from the National Cancer Institute under the Cancer Cause and Prevention Research program (CFDA 93.393) effective June 1, 2026, with a completion date of May 31, 2031. This award supports research to develop and validate radiomic phenotypes—quantitative imaging features extracted from three-dimensional digital breast tomosynthesis (DBT) screening examinations—for improved prediction of invasive and advanced breast cancer risk. The project will extract and analyze over 2,000 radiomic features from approximately 36,000 screening-DBT exams across a representative sample of U.S. women ages 40-74, sourced from four breast screening cohorts, with particular attention to characterizing these phenotypes across racial and ethnic populations to address known disparities in breast density and cancer prognosis. The research deliverables include characterization and independent validation of radiomic phenotypes derived from screening-DBT imaging, examination of associations between identified phenotypes and incident invasive and advanced breast cancer risk (defined as pathologic prognostic stage II or higher), and development of improved breast cancer risk prediction models that leverage superior tissue visualization capabilities of DBT technology compared to previous two-dimensional digital mammography approaches. By identifying reproducible intrinsic radiomic patterns that complement established risk factors such as mammographic breast density, this work aims to enhance the clinical utility of routine screening mammography—utilized by over 75% of U.S. women—for breast cancer risk stratification and early detection across diverse populations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $722.9k | 5/7/26 |