Project Grant R43CA314667
- The National Institutes of Health National Cancer Institute awarded Albert Einstein College of Medicine $431,970 on July 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to refine and validate an MRI-based imaging technique for detecting tumor microenvironment of metastasis (TMEM) doorways in breast cancer. The award funds development of TMEM doorway activity-MRI (TDAM), a dynamic contrast-enhanced MRI method designed to measure vascular opening events...
- The National Cancer Institute (part of the National Institutes of Health under the Department of Health and Human Services) awarded New York University School of Medicine $700,171 on July 16, 2026, to advance deep learning models for clinically significant prostate cancer detection on magnetic resonance imaging. The funded research addresses three specific aims: training a robust deep learning model on diverse imaging datasets to ensure consistent performance across multiple scanners, protocols,...
- The National Cancer Institute awarded Mayo Clinic $722,914 on June 1, 2026, under the Cancer Cause and Prevention Research program (CFDA 93.393) to extract and validate radiomic phenotypes from screening digital breast tomosynthesis exams as predictors of invasive and advanced breast cancer risk. The project runs through May 31, 2031, with place of performance in Rochester, Minnesota. The award funds extraction of over 2,000 radiomic features from 36,000 screening DBT exams across a...
- The National Institutes of Health National Cancer Institute awarded the University of California, Los Angeles $761,691 on June 15, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to conduct a prospective randomized controlled trial evaluating the impact of artificial intelligence on breast cancer screening quality and effectiveness in 3D mammography. The study will assess the comparative effectiveness of mammography interpretation with versus without FDA-cleared...
- The National Institutes of Health National Cancer Institute awarded The Leland Stanford Junior University $395,973 on June 9, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop and validate an augmented reality system that projects volumetric MRI data inside the breast to guide lumpectomy surgery and reduce positive margin rates. The project addresses the clinical problem that approximately half of women undergoing initial lumpectomy for newly diagnosed...
- The National Cancer Institute awarded The University of Chicago $249,000 on April 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop explainable artificial intelligence models for predicting early-stage melanoma recurrence through integrative analysis of multiplexed tissue imaging, spatial transcriptomics, and clinical histopathology data. The research addresses the gap between current inadequate prognostic tools and the clinical need to identify...
- The National Institute of Biomedical Imaging and Bioengineering awarded The Trustees of Columbia University in the City of New York $845,446 on September 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to develop a scalable artificial intelligence framework for early detection of multiple cancers using electronic health records foundation models. The award funds three principal aims: development of a generalizable...
- The National Cancer Institute awarded The Johns Hopkins University $249,000 on January 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop large-scale artificial intelligence using radiomics, deep learning, and physics-based generative modeling to improve clinical outcomes in nuclear medicine. The award funds three specific aims: construction of a large database of clinical positron emission tomography/computed tomography images with physician-annotated...
- The National Cancer Institute awarded Vanderbilt University Medical Center $701,332 on August 1, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394) to develop and validate MRI cytometry as a noninvasive imaging biomarker for characterizing renal masses and distinguishing benign from malignant tumors. The project applies advanced diffusion MRI technique with multicompartment biophysical modeling to generate voxelwise maps of cell size and cellularity at...
- The National Cancer Institute awarded The Trustees of Columbia University in the City of New York $594,297 on June 18, 2026, to develop elasticity imaging methodologies for breast cancer detection and treatment monitoring under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The award funds two noninvasive theranostic approaches: Harmonic Motion Imaging (HMI) for monitoring locally advanced malignant tumors during neo-adjuvant chemotherapy, and HMI-guided focused ultrasound...
The National Cancer Institute awarded Medara, Inc. $399,860 under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on August 3, 2026, to develop a longitudinal multimodal artificial intelligence platform for personalized breast cancer screening. Medara will extend the Longitudinal Mammogram Risk (LOMAR) model framework to a large, diverse, multi-vendor dataset of over 250,000 mammograms linked with biopsy outcomes and clinical risk variables. The Phase I project comprises three aims. Aim 1 improves predictive accuracy through a multimodal longitudinal machine learning model trained on digital breast tomosynthesis and clinical risk factors, with performance measured by area under the curve, false-positive and false-negative rates, and F1 score. Aim 2 calibrates LOMAR's risk scores to clinically interpretable categories aligned with five-year absolute risk, enabling personalized screening recommendations. Aim 3 systematically evaluates the predictive value of longitudinal imaging across digital breast tomosynthesis, synthetic mammograms, and two-dimensional full-field mammography to guide optimal screening frequency and modality. The anticipated outcome is a functional prototype delivering individualized short-term breast cancer risk assessments with higher precision than existing tools. Performance occurs in New York, New York. The period of performance runs from the award date through July 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $399.9k | 8/3/26 |