Project Grant R01CA307402
- Federal Project Grant Award Summary Duke University's Office of Research Administration received a $2.87 million Project Grant from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) effective September 1, 2025, through August 31, 2029. The award supports the development and validation of artificial intelligence (AI)-based diagnostic tools to differentiate low-risk from high-risk thyroid nodules on ultrasound imaging. The research aims...
- 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, through July 31, 2030. This research initiative addresses the genetic basis of adult diffuse glioma by leveraging both germline and somatic genetic analyses to elucidate glioma risk and improve patient outcomes. The project builds upon genome-wide association studies (GWAS) that have...
- 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 Mayo Clinic Arizona received a $1,902,644 Project Grant award dated April 9, 2025, from the National Institute of Biomedical Imaging and Bioengineering under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The project, titled "Online Adaptive Proton Therapy," develops artificial intelligence-enabled solutions to enhance intensity-modulated proton therapy (IMPT) for head and neck cancer...
- Federal Project Grant Award Summary Mayo Clinic has been awarded $756,906 under the Cardiovascular Diseases Research program (CFDA 93.837), administered by the National Heart, Lung, and Blood Institute (NHLBI), with an award date of September 1, 2025, and completion target of June 30, 2029. This project grant funds a population-based study leveraging deep learning artificial intelligence algorithms to detect and quantify breast arterial calcification (BAC)—a mammographic biomarker associated...
- Federal Project Grant Award Summary Mayo Clinic received a $161,400 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) for the period August 1, 2025 through July 31, 2027. The award supports research to develop and validate innovative ferroptosis-based therapeutic approaches targeting cholangiocarcinoma (CCA), a highly lethal malignancy of the liver and biliary tract with a five-year survival rate below 10%. The...
- Federal Grant Award Summary New York University School of Medicine received a $681,215 Project Grant from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394), awarded September 1, 2025, with a completion date of August 31, 2030. The grant supports the development of artificial intelligence (AI)-enabled point-of-care magnetic resonance (MR) imaging technology for clinically significant prostate cancer (CSPCA) detection. The research...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded Am Operating LLC a Project Grant of $1,116,368 under the Cancer Detection and Diagnosis Research program (CFDA 93.394) effective August 1, 2025, through July 31, 2027. The awardee will develop a novel visualization, labeling, and tracking engine designed to standardize and enhance the precision of anatomic site descriptions for skin cancer documentation and treatment. The core deliverable is an integrated software system...
- Project Grant Award Summary Mayo Clinic received an $887,700 project grant award dated August 13, 2025, through 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). The grant supports the development of g-quadruplex-based supramolecular assemblies designed to function as activatable contrast agents for fluorescence imaging of estrogen receptor (ER) in breast...
- Federal Grant Award Summary The National Cancer Institute awarded $371,161 to the University of Colorado-Denver under the Cancer Detection and Diagnosis Research program (CFDA 93.394) for a two-year project (September 1, 2025 – August 31, 2027) to develop advanced artificial intelligence (AI) algorithms for cervical cancer screening in low-resource settings. The project will create AI-based automated visual evaluation (AVE) models utilizing time-series imaging to capture acetowhitening...
Mayo Clinic received a $676,067 Project Grant award dated March 13, 2026, from the National Cancer Institute under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to address thyroid cancer overdiagnosis. The project, extending through February 28, 2031, focuses on developing and validating artificial intelligence (AI) and natural language processing (NLP) systems to identify and characterize incidental thyroid nodules (ITNs) in medical imaging reports. Aim 1 involves developing, externally validating, and comparing two advanced AI/NLP-enhanced systems, building upon Mayo Clinic's existing high-performing named entity recognition (NER) system that achieves 97% accuracy and an F1 score of 0.95. The research will explore strategies to adapt large language models for NER applications and evaluate their resilience across various datasets. This initiative addresses a significant clinical and economic problem, as ITNs appear in 10-20% of chest and neck imaging reports, and with approximately 80 million imaging procedures performed annually in the United States, millions of patients risk unnecessary diagnostic cascades and treatment. The project aims to reduce the substantial medical and financial burdens of thyroid cancer overdiagnosis, with annual thyroid cancer care costs projected to reach $3.5 billion by 2030. By establishing standardized criteria and AI-driven approaches for appropriate evaluation of reported ITNs, the research will help mitigate unnecessary treatments, associated surgical complications, and financial distress experienced by patients with low-mortality papillary thyroid cancers.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $676.1k | 3/13/26 |