Project Grant R50LM014943
- This federal Project Grant award of $108,384 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 grant will support an interdisciplinary, pre-doctoral training program at Emory University, Georgia Tech, and Children's Healthcare of Atlanta. The goal of this 5-year program is to create the next generation of inventors for point-of-care and...
- 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...
- This Project Grant award of $347,570.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program is for the "CAREER: EXPEDITING NEXT-GENERATION AI FOR HEALTH VIA KG-LLM CO-LEARNING" research project at Emory University. The project aims to develop a "KG-LLM Co-Learning" framework that will enhance large language models (LLMs) and knowledge graphs (KGs) to address data, model, and application challenges in healthcare. Key...
- This federal Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $400,000 to Emory University to conduct collaborative research on empowering graph neural networks (GNNs) from a data-centric perspective. The project aims to address key challenges with GNNs related to data scale, distribution, and quality, which currently limit the widespread real-world application of these powerful AI models. The research will focus...
- 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...
- 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 federal Project Grant award of $150,000.00, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop advanced machine learning models and algorithms for the early prediction of Alzheimer's Disease and Related Dementias (ADRD) using electronic health record (EHR) data. The research project, led by the University of Iowa, will leverage natural language processing techniques to automatically extract...
- This $375,840 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced machine learning models to enable accurate and early prediction of Alzheimer's disease and related dementias (ADRD). The project, led by the University of Virginia, will leverage novel natural language processing techniques to automatically extract personal risk factors for ADRD from electronic health...
- The University of California, San Francisco (UCSF) was awarded a $1,453,500 Project Grant by the National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310). The funding will support the development of a novel, physiologically-focused approach to train multi-modal artificial intelligence (AI) algorithms for medical applications. Specifically, the project aims to create a new deep neural network architecture that can accept and learn from multiple...
The federal Project Grant award for $156,134 titled "CADA+ (ENHANCED COHORT ADJUDICATION DATA ANNOTATION)" was provided by the Department of Health and Human Services National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310). The grant will enable the awardee, Emory University, to further develop a scalable and generalizable platform to support the labeling of multimodality data, including structured and unstructured electronic health records, MRI brain scans, and neurophysiological and cardiovascular signals. The platform will also incorporate functionalities to support continuous AI model benchmarking, allowing researchers to publish AI model cards, host AI models, and test them with labeled data. The project aims to satisfy the data labeling and model validation needs of three active NIH research projects and facilitate collaboration with external partners like PhysioNet and OHDSI to enable wider community use and standardized data labeling.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $156.1k | 8/26/25 |