Cooperative Agreement R43CA232860

The U.S. Department of Defense awarded a $1,389,027 Project Grant under the Military Medical Research and Development program (CFDA 12.420) to Mayo Clinic in Rochester, MN. The grant supports the "Development and External Validation of Novel Deep Learning Platforms for the Diagnosis and Risk Stratification of Dysplasia in Barrett Esophagus Histological Whole-Slide Images" over a 3-year period from September 2023 to September 2026. As part of this award, Mayo Clinic is partnering with...

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) has awarded a $693,156 Project Grant (CFDA 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health) to the Dana-Farber Cancer Institute, Inc. (DFCI) to develop artificial intelligence (AI) algorithms for predicting prognosis and optimizing treatment selection for cutaneous squamous cell carcinoma (CSCC), a highly prevalent form of skin cancer. The project aims to train and validate AI...

The National Cancer Institute (NCI) awarded a $245,087 Project Grant under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to the University of Delaware (UDE) to integrate radiologist insights for safe and accurate AI-assisted prostate MRI interpretation. The project aims to overcome two key gaps: 1) lack of publicly available prostate cancer MRI scans with corresponding radiologist PIRADS reports, and 2) inability of existing AI approaches to fully integrate radiologist...

Federal Grant Award Summary Cedars-Sinai Medical Center received a $523,670 Project Grant award from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research Program (CFDA 93.394) on September 12, 2025, with a completion date of August 31, 2029. The project focuses on developing and validating an artificial intelligence (AI) model to improve the accurate detection of early-stage pancreatic ductal adenocarcinoma (PDAC) through analysis of abdominal computed tomography...

This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $742,395 to Case Western Reserve University (CWRU) to develop and validate a machine learning-based analysis of coronary artery calcium scans (CTCS) to identify biomarkers for predicting heart failure risk. The 4-year project aims to create an automated tool for extracting CTCS-derived radiomics, develop a comprehensive heart failure risk...

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...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) of $195,000 will fund the development of a weakly-supervised breast cancer detection system using active and weakly-supervised learning techniques to improve breast cancer diagnosis from ultrasound images. The project aims to create a deep learning model that can detect breast cancer effectively with minimal annotations, addressing the challenges of noisy, low-contrast...

This Project Grant awarded by the National Cancer Institute (NCI), under the federal Cancer Detection and Diagnosis Research program (CFDA 93.394), provides $399,789 to Ergami Endoscopy, Inc. to develop an automated robotic flexible overtube device capable of blind insertion during colonoscopy procedures. The device aims to reduce physician injuries, improve productivity, and decrease patient pain/sedation requirements for the over 16 million colonoscopies performed annually in the U.S. Key...

This Project Grant from the National Institute for Minority Health and Health Disparities, part of the Department of Health and Human Services National Institutes of Health, provides $769,755 to develop an unbiased machine learning tool for the prediction of acute coronary syndrome. The tool aims to minimize bias in predictions between patient demographic groups, as measured by equal opportunity difference and the Zemel statistic, to ensure machine learning algorithms do not exacerbate...

Federal Project Grant Award Summary The National Cancer Institute awarded a $297,074 Project Grant to the University of California, Davis on August 8, 2025, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop and validate Fluorescence Lifetime Imaging (FLIM) technology integrated into standard colonoscopy procedures for enhanced colorectal cancer detection. The project, which extends through July 31, 2030, will deliver three primary products: (1) a comprehensive in...