Project Grant R21EB037713
- Federal Grant Award Summary Wake Forest University Health Sciences received a $402,728 Project Grant from the National Cancer Institute (NCI) under the Cancer Detection and Diagnosis Research program (CFDA 93.394), awarded July 16, 2025, with completion targeted for June 30, 2027. The award supports development of interpretable deep learning models for multi-modality imaging-based gastric cancer prognosis. The project addresses the critical clinical need to improve prognostic accuracy and...
- Federal Grant Award Summary Wake Forest University Health Sciences received a $513,915 Project Grant from the National Cancer Institute (NCI) on June 18, 2026, under the Cancer Detection and Diagnosis Research program (CFDA 93.394). The award supports the development and validation of novel predictive computational models for early identification of peritoneal recurrence in gastric cancer patients. The research leverages advanced deep learning techniques and multimodal data integration,...
- Federal Grant Award Summary The University of California, San Francisco (UCSF) received a $729,587 Project Grant from the National Cancer Institute under the Cancer Treatment Research program (CFDA 93.395) awarded August 21, 2025, with completion targeted for July 31, 2030. The project aims to develop a personalized, voxel-wise predictive model for identifying brain metastases risk in non-small cell lung cancer adenocarcinoma patients using multi-parametric magnetic resonance imaging. The...
- Federal Grant Award Summary The National Cancer Institute (NCI) awarded Wake Forest University Health Sciences a $473,071 Project Grant under the Cancer Treatment Research program (CFDA 93.395) for the period January 1, 2026, through December 31, 2028. The research investigates the molecular mechanisms by which nicotine promotes brain metastasis of lung cancer through GABAergic (gamma-aminobutyric acid) neuron activation. The project deliverables include three primary research objectives: (1)...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded Massachusetts General Hospital Research Management Division a Project Grant of $199,616 effective May 1, 2026, through April 30, 2028, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The project develops a novel deep learning methodology for multi-modal biomedical data fusion that integrates three data sources—clinical...
- Federal Grant Award Summary The University of North Carolina at Chapel Hill received a $414,079 Project Grant 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 award, effective June 1, 2026 through May 31, 2028, funds development of reliable medical large vision-language models (Med-LVLMs) specifically designed for radiology applications. The project...
- Federal Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering awarded a K08 mentored career development grant of $194,022 to Massachusetts General Hospital (MGH) on August 1, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award, which extends through July 31, 2029, supports the candidate's transition to independence as a translational oncologist by developing deep learning (DL)...
- Summary of Federal Project Grant Award The University of Texas Southwestern Medical Center received a $687,594 project grant from the National Cancer Institute under the Cancer Biology Research program (CFDA 93.396) effective July 1, 2026, through June 30, 2031. This award supports fundamental research on brain metastasis organotropism and therapy response in small cell lung cancer (SCLC), addressing the critical clinical need for more effective and less toxic treatment alternatives to...
- Federal Project Grant Award Summary The National Cancer Institute awarded a $382,449 Project Grant to the University of California, Los Angeles under the Cancer Detection and Diagnosis Research program (CFDA 93.394) on July 16, 2025, with completion targeted for June 30, 2027. This research project develops and validates advanced dual-nuclei magnetic resonance imaging (MRI) techniques to non-invasively differentiate between recurrent brain metastases (RBM) and radiation-induced necrosis (RN)...
- 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...
Wake Forest University Health Sciences received a $228,195 Project Grant award dated July 1, 2026, 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 24-month award, with ultimate completion scheduled for June 30, 2028, supports the development and validation of novel multimodal predictive models to forecast radiation failure patterns and survival outcomes in patients with brain metastases originating from non-small cell lung cancer (NSCLC). The research deliverables include two primary components: (1) a multitask deep learning model integrating pre-treatment data from magnetic resonance imaging (MRI), blood biomarkers, and clinical markers to provide tailored treatment recommendations prior to radiotherapy, and (2) an innovative deep learning methodology to extract therapy-induced information from longitudinal MRI and blood data collected at pre- and post-treatment intervals. These integrated predictive models are intended to address the current clinical inadequacy in predicting radiation failure in brain metastases patients, thereby reducing both over-treatment and under-treatment while improving treatment efficacy, quality of life, and survival outcomes for approximately half of all NSCLC patients who develop brain metastases during their disease course.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $228.2k | 6/23/26 |