Project Grant R01EB036082
Award Date
7/1/25
Completion Date
3/31/29
Dollars Obligated
$595K
Federal Agency
National Institute of Biomedical Imaging and Bioenginering
Federal Grant Program
93.286
Assistance Type
Project Grant
Place of Performance
Illinois, USA
Similar Awards
This Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), under the CFDA 93.286 "Discovery and Applied Research for Technological Innovations to Improve Human Health" program, provides $641,063 to develop a dynamic, customizable, vendor-neutral patient projection data library and virtual imaging trial (VIT) software platform (DICOM-CTPD-VIT). This platform will enable the generation of a diverse range of imaging conditions, including...
This $255,807 National Science Foundation project grant will fund the development of an AI-assisted software system to accelerate the labeling of medical tomographic images. Administered through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), the grant aims to extract new information from medical images and improve patient outcomes. Alienbyte Scientific Software Inc. will apply machine learning algorithms to create an adaptive system that evolves to increase the speed,...
This $536,954 Project Grant awarded by 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) will fund research and development of a novel ultra-high-spatial resolution computed tomography (UHR-CT) system using photon-counting detectors and multiple x-ray focal spots. The research aims to overcome limitations of current high-resolution CT systems by developing...
This federal Project Grant award of $718,456 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) supports research and development of an AI-powered system for automated analysis of abdominal CT scans to enhance detection and tracking of metastatic colorectal cancer. The key products and services to be delivered include: 1) Creating a large-scale...
This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $220,000 to Yale University from September 1, 2023 through August 31, 2027. The project aims to develop a smarter artificial intelligence (AI) system to better understand and analyze complex medical images, such as those from multiple scans of a patient. The research team will tackle challenges to make the AI system more scalable, interpretable,...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $800,000 to develop an intelligent radiology platform through human-machine cooperation. The awardee, Georgia Tech Research Corporation, will create an accurate medical image labeling tool using state-of-the-art artificial intelligence algorithms to maximize accuracy and minimize inter- and intra-reader variability among radiologists. The tool will provide...
This Project Grant award of $499,997.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new framework to improve the interpretability and steerability of domain-specific AI models in medical imaging. The key products and services to be delivered include: Constructing an anatomically aware vision-language model capable of encoding and generating 3D medical images and radiology reports, to reduce the risk of...
This federal Project Grant award from the National Institutes of Health (NIH) Office of the Director under the Trans-NIH Research Support program (CFDA 93.310) aims to develop an AI-augmented, image-based hemodynamic modeling platform to enhance cardiovascular research and healthcare. The $150,000 award, effective September 1, 2024 through May 31, 2028, will be used by the University of Notre Dame to automate the transformation of medical images into 3D geometries for computational fluid...
This $1,434,445.00 Project Grant award from the National Institutes of Health's Trans-NIH Research Support program (CFDA 93.310) supports the University of Southern California (USC) in developing new deep learning-based architectures, algorithms and training mechanisms to address key challenges in magnetic resonance imaging (MRI) reconstruction. The project aims to create a robust, reliable and trustworthy toolkit for reducing MRI acquisition time, enabling high-quality reconstruction with...
This federal Project Grant award of $194,022, awarded by 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), supports research to develop deep learning models that integrate radiology, histopathology, and clinico-genomic data to predict response to immune checkpoint inhibitor (ICI) therapy for brain metastases. The awardee, The General Hospital Corporation...