Project Grant R01LM014784
Award Date
7/28/25
Completion Date
5/31/29
Dollars Obligated
$321K
Federal Agency
National Institute of Environmental Health Sciences
Awardee
The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. (UYLKBRENAPG5)
Federal Grant Program
93.879
Assistance Type
Project Grant
Place of Performance
Maryland, USA
Similar Awards
This federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program will support the development of new mathematical and algorithmic approaches to enhance the practical application of federated learning in biomedical research. The $358,112 award to The Trustees of Columbia University in the City of New York will fund the creation of domain-specific add-on algorithms to traditional federated learning...
This federal Project Grant award for $338,538 was provided by the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program. The grant aims to develop a novel deep learning framework called DeepGene to predict spatial cell-type clusters in whole-brain spatial transcriptomics datasets. The research will create a comprehensive parcellation/atlas of the adult mouse brain shared across multiple mouse brain samples. The goal is to integrate...
This $729,821 Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program supports the development of artificial intelligence (AI) and machine learning (ML) methods for real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce health disparities that may arise from the use of CDS tools. The key products of this work include: Fair ML models trained on retrospective...
This federal Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, is focused on developing a software platform to automate the analysis of quantitative MRI biomarkers for monitoring and staging multiple sclerosis (MS). The $353,942 award to Microstructure Imaging Inc., with a project period from September 2024 to August 2026, aims to: 1) curate...
This federal Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, provides $476,993 to Yale University to develop new methods for measuring white matter hyperintensities (WMH) using low-field portable MRI (PMRI) technology. The project aims to create both a qualitative WMH grading scale and a quantitative machine learning-based WMH volume...
This federal Project Grant award from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) program aims to develop an artificial intelligence (AI) agent, called MyMSMentor, to provide personalized, lifelong self-management support for people with chronic conditions, particularly multiple sclerosis (MS). The $329,346 award, which runs from September 2024 to August 2028, will fund the development of MyMSMentor's comprehensive user...
This Project Grant award from the National Institute of Neurological Disorders and Stroke (NINDS), under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, provides $1,239,094 to the University of North Carolina at Chapel Hill to develop and optimize a rapid, robust quantitative magnetic resonance imaging (MRI) technique for high-resolution brain imaging. The project aims to leverage expertise in MRI fingerprinting, machine learning, and pulse...
The National Institute of Environmental Health Sciences (NIEHS) awarded a $498,042 Project Grant under the Medical Library Assistance (CFDA 93.879) federal grant program to the University of Colorado-Denver. The grant, which runs from September 1, 2024 to August 31, 2027, aims to develop and evaluate multi-modal clinical diagnostic reasoning models for automated diagnosis generation. Key project goals include: Developing a multi-modal generative model that can read structured and unstructured...
This $884,573 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), is supporting the development of a fast, comprehensive brain MRI technique. The goal is to reduce exam duration by roughly three-fold while capturing quantitative and qualitative MRI contrasts, as well as gadolinium-based enhancement. The project is being led by...
The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $459,264 Project Grant (CFDA 93.286 - Discovery and Applied Research for Technological Innovations to Improve Human Health) to The Johns Hopkins University to develop the Resolution Enhancement and Contrast Harmonization (REACH) algorithm. REACH aims to super-resolve multi-slice 2D MRI scans and harmonize the contrast of both 2D and 3D MRI images to enable the use of modern AI algorithms on clinical-quality MRI...