Project Grant R01LM014588
- This $1,149,995.00 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at New York University (NYU) School of Medicine to develop innovative methods in artificial intelligence (AI) and motion capture technology to analyze patient movement and improve stroke rehabilitation. The key objectives of the project are to: 1) develop a method to integrate multimodal data into a shared representation...
- This federal Project Grant award of $1,396,731.00 from the National Institute of Environmental Health Sciences (NIEHS), under the Medical Library Assistance (CFDA 93.879) program, aims to develop a computational framework for the quality assessment and curation of biological models. The primary objectives are to standardize and automate the iterative process of assembling, documenting, verifying, and validating models of cell signaling. This will maximize the accuracy and reuse potential of...
- This federal Project Grant award, valued at $492,749.00 and awarded by the National Institute of Neurological Disorders and Stroke (NINDS), supports the development of a novel non-invasive magnetic resonance imaging (MRI) technique called ratiometric dual contrast (RDUAL) pH-weighted MRI. The goal is to create an imaging tool that can accurately map the ischemic penumbra (tissue at risk of infarction) and evaluate the risk of reperfusion injury in acute ischemic stroke patients. This research,...
- This $437,250 project grant, awarded by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), aims to improve the characterization of individualized treatment effects in critical illness, particularly for sepsis and acute respiratory distress syndrome (ARDS). The research will focus on developing computational approaches to estimate individualized treatment effects (ITEs) using machine learning, which can uncover...
- This federal Project Grant award of $673,197.00, provided by the Defense Health Agency under the Military Medical Research and Development program (CFDA 12.420), supports research conducted by the University of Pittsburgh to harmonize and analyze multi-omic data on severe traumatic brain injury. The research aims to transform healthcare for military service members and the broader public by developing innovative medical solutions to address critical health challenges. The project will be...
- 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...
- The University of Pittsburgh was awarded a $400,000 Cooperative Agreement under the Trans-NIH Research Support program (CFDA 93.310) by the National Institutes of Health (NIH) with a start date of September 9, 2025 and an ultimate completion date of June 30, 2030. The award will fund the Collaborative for Research to Advance TMD Evidence (CREATE) project, which aims to address critical gaps in the understanding of temporomandibular disorders (TMDs) through a bidirectional approach integrating...
- This Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) will fund research at Arizona State University (ASU) to enhance self-directed hand rehabilitation using AI-driven recovery dynamics monitoring and motivation boosting. The $599,960 award, commencing on July 1, 2025 and concluding on June 30, 2030, aims to address the challenges faced by individuals with hand movement issues due to neurological conditions, aging, or injuries. The project will...
- 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...
- This $324,160 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of advanced machine learning models and computational platforms to enable early and accurate prediction of Alzheimer's disease and related dementias (ADRD). The project aims to extract personal risk factors, such as education, employment, and lifestyle information, from electronic health record data using novel natural...
The University of Pittsburgh received a Project Grant award of $365,103 from the National Institute of Environmental Health Sciences (CFDA 93.879 - Medical Library Assistance program) on September 5, 2025. The purpose of this award, titled "ARISE-CARE: ADVANCING REHABILITATION FOR STROKE PATIENTS WITH AI TO ELEVATE THERAPY CARE", is to develop and evaluate the use of generative artificial intelligence (AI) techniques to automate and streamline clinical documentation for stroke rehabilitation therapists. The project aims to address challenges related to the burdensome documentation requirements and inaccuracies in rehabilitation activity and outcome data, which can lead to therapist burnout and compromise the quality of care. The award will support research activities at the University of Pittsburgh, with a planned completion date of July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $365.1k | 9/5/25 |