Project Grant R21EB037440
Award Date 8/13/25
Completion Date 7/31/27
Dollars Obligated $328K
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
North Carolina, USA
Similar Awards
- This $300,000 Project Grant award 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 the development of interpretable machine learning tools to uncover imaging biomarkers associated with breast and lung cancer. The project aims to create dimension reduction techniques to visualize features from deep learning models, establish an interpretable...
- This $301,516 Project Grant was awarded on August 1, 2025 by the National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of the National Institutes of Health, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The grant was awarded to The Johns Hopkins University to develop artificial intelligence (AI) models that can provide expert-like narrative feedback on surgical procedures, focusing initially on...
- This federal Project Grant award of $695,814 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 to develop artificial intelligence (AI) technologies that enable online adaptive radiation therapy for proton therapy. The key products and services to be delivered through this grant include: 1) Developing an asymmetric autoencoder network...
- This federal Project Grant award for $653,230.00, provided 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 the development of MED-SCALLOP - a novel neurosymbolic AI methodology and software tool. The goal is to create inherently explainable AI/ML models for clinical decision support in healthcare, which can effectively integrate deep neural...
- This $696,824 federal Project Grant award 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 at the University of North Carolina at Chapel Hill (UNC-CH) to develop robust and interpretable multi-modal AI/ML models for precision medicine. The project aims to address key challenges in integrating complex, heterogeneous biomedical data...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $594,891 Project Grant under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program to the Illinois Institute of Technology (IIT). The grant aims to develop deep-learning anthropomorphic model observers (AMO) as a substitute for human observers in studies evaluating image quality and diagnostic performance. The project will create annotated image...
- The federal Project Grant award of $1,148,652 was made on April 1, 2025 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). The grant supports research and development of an ultra-high spatial resolution photon-counting computed tomography (CT) system with multiple focal spots. The key products to be delivered include: Developing system models and...
- The federal Project Grant award of $221,224 was provided 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). The award will fund research to develop AI language models with working memory constraints that better approximate those of humans, and conduct experiments with human participants to determine the extent to which these models can explain neural...
- This Project Grant award, funded 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 the development of a dynamic, customizable, and vendor-neutral patient projection data library and software platform for training and evaluating AI-based algorithms in CT imaging. The $641,063 award will enable the creation of a diverse range of simulated patient...
- The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $459,264 Project Grant to The Johns Hopkins University under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The award, which runs from Apr 8, 2025 to Feb 28, 2029, will support research and development to enhance resolution and contrast in magnetic resonance (MR) neuroimaging. This is intended to help standardize the appearance of MR neuroimages...