Project Grant R01CA304060
- Federal Project Grant Award Summary Mayo Clinic received a $676,067 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394), effective March 13, 2026, with a completion date of February 28, 2031. The project addresses thyroid cancer overdiagnosis by developing artificial intelligence (AI) and natural language processing (NLP) systems to identify and characterize incidental thyroid nodules (ITNs) in medical imaging...
- Federal Grant Award Summary Mayo Clinic received a $722,914 Project Grant from the National Cancer Institute (NCI) under the Cancer Cause and Prevention Research program (CFDA 93.393) awarded June 1, 2026, with a completion date of May 31, 2031. The grant supports research to extract and validate radiomic phenotypes—high-throughput imaging features reflecting tissue structure complexity—from three-dimensional digital breast tomosynthesis (DBT) screening exams. The primary deliverable is the...
- 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 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 Mayo Clinic received a $1,276,961 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 August 1, 2025, with completion targeted for May 31, 2029. The project deliverable is a dynamic, vendor-neutral patient projection data library and virtual imaging trial (VIT) software platform designated...
- 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 Project Grant Award Summary Award Details: Mayo Clinic received a $415,000 Project Grant from the National Cancer Institute under the Cancer Treatment Research program (CFDA 93.395) for the period May 14, 2026 through April 30, 2028. The project, titled "Improving Treatment Sensitivity Through SYK Using Novel Translational Models of Uveal Melanoma," focuses on advancing therapeutic approaches for uveal melanoma, the most common primary adult intraocular malignancy. Products and...
- Federal Grant Award Summary Mayo Clinic received an $887,700 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). The award, effective August 13, 2025, through July 31, 2027, supports development of a novel biomedical imaging technology platform using g-quadruplex-based supramolecular assemblies as activatable contrast agents for...
- Federal Project Grant Award Summary The University of Chicago received a $249,000 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394) for the period April 1, 2026 through March 31, 2029. The project, titled "Explainable Artificial Intelligence for Melanoma Recurrence Prediction via Integrative Modeling of Multiplexed Imaging with Transcriptomics and Histopathology," will develop computational tools and...
- Federal Grant Award Summary The National Cancer Institute awarded Sloan-Kettering Institute for Cancer Research a $693,290 Project Grant under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) effective May 1, 2026, through April 30, 2031. This award supports research to identify spatial tumor microenvironment (TME) signatures for risk stratification in primary melanoma. The project will deliver whole-slide multiplex immunofluorescence (MIF) tissue imaging analysis of 450 stage...
Mayo Clinic received a $643,606 Project Grant award from the National Cancer Institute under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop artificial intelligence-powered diagnostic tools for early detection of choroidal melanoma, the most common primary intraocular malignancy in adults. The project, which commenced June 2, 2026 and extends through May 31, 2031, combines novel artificial intelligence techniques with quantitative high-definition microvessel imaging (QHDMI) technology to differentiate early-stage choroidal melanoma from benign choroidal nevus. QHDMI enables visualization of tumor microvessels as small as 150 micrometers and quantifies microvessel morphological structures as new quantitative imaging biomarkers without requiring contrast agents, addressing a significant clinical challenge where no single objective standard currently exists to reliably discriminate between these two entities. The project delivers two primary research outcomes: development of a diagnostic method to identify early-stage choroidal melanoma with improved accuracy, and establishment of a treatment monitoring capability to assess patient response to radiation therapy or transpupillary thermotherapy. By leveraging new noninvasive imaging biomarkers combined with artificial intelligence algorithms, this Cancer Detection and Diagnosis Research initiative aims to advance clinical practice in ocular oncology and potentially improve patient outcomes through earlier disease identification and more effective treatment assessment.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $643.6k | 6/5/26 |