Project Grant 2327184
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $418,901.00 to the University of Oklahoma to conduct research aimed at enhancing the understanding of the mechanisms that drive cardiac arrhythmias. The project integrates computational simulations of various physical phenomena with advanced deep-learning techniques to explore how multiple physiological factors can contribute to arrhythmias and their initiation mechanisms. The...
- This $760,046 federal 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 a computationally-efficient multiscale modeling framework that integrates machine learning and artificial intelligence to predict structural and functional changes in the heart due to disease progression. The project aims to build fundamental understanding of heart disease by combining techniques from...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) program grant, in the amount of $400,000, supports the development of a tissue-like, converged sensing platform for tracking excitation-contraction dynamics in cardiac organoids. The project aims to: Develop a scalable assembly strategy to fabricate an array of three-dimensional sensor structures using planar semiconducting graphene material, designed to detect both electrical and mechanical stimuli. Evaluate the multifunctional...
- The National Science Foundation awarded a $279,606 Project Grant to the University of California Irvine under the Engineering federal grant program (CFDA 47.041). The grant supports collaborative research to develop multiscale computational models characterizing how heart muscle cells adapt mechanically to changes in load conditions. Through experimental measurement and multi-scale modeling, the university researchers will elucidate the acute functional response and long-term remodeling response...
- This $262,138 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at the University of Houston to investigate the mechanisms of cardiac fibrosis, a type of scarring in the heart that leads to impaired function. The key objectives are to: 1) determine the role of the endothelial-mesenchymal transition in cardiac fibrosis, and 2) develop a 3D cardiac fibrosis model to study tissue remodeling. The research will leverage a...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $439,954 to Michigan State University (MSU) to develop advanced computational models of the heart that leverage machine learning and artificial intelligence. The goal is to create a multiscale modeling framework that can predict structural and functional changes in the heart due to disease conditions like pathological fibrosis. The...
- The National Science Foundation awarded a $464,102 Project Grant to the New Jersey Institute of Technology under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support research merging deep learning and mechanistic modeling to analyze electrophysiology related to circadian clocks, aging, cardiac arrhythmias, and Alzheimer's disease. Specifically, the grantee and collaborators at IBM Research and Purdue University will develop hybrid deep learning and...
- This $599,486 National Science Foundation award under the Engineering (47.041) program will fund the development of an engineered cardiac tissue model with embedded soft microelectronics for continuous cardiotoxicity screening at The Pennsylvania State University from January 2022 to September 2023. The key product is a 3D-bioprinted, microvascularized cardiac tissue model integrated with stretchable microelectronics to enable real-time, intra-tissue measurement of cardiotoxicity responses to...
- The National Science Foundation awarded a $450,000 Project Grant to the George Washington University under the Engineering federal grant program (CFDA 47.041) to develop scalable heart-on-a-chip platforms. Over a three-year period from April 2022 through March 2025, the University will create automated systems integrating human heart slice culture components with sensor and actuator arrays. This will enable continuous on-chip multiparametric analysis of human cardiac physiology at the cellular...
- This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $199,992 to Boston University to develop a high-throughput electrical stimulation screening platform for assessing the long-term effects of cardiac contractility modulation (CCM) devices on engineered human heart tissue. The project will support a postdoctoral scholar co-mentored by researchers at the Food and Drug Administration (FDA) and Boston University to advance...
This Project Grant award of $172,000 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research by Purdue University and the University of Minnesota-Twin Cities to develop a multiscale computational model that incorporates the nanoscale structure of cardiac intercellular connections, known as ephaptic coupling, and examines its impact on cardiac arrhythmias. The research aims to demonstrate the role of ephaptic coupling as an alternative mechanism for electrical communication between heart muscle cells when traditional gap junctions are impaired, which could inform the development of new anti-arrhythmic therapies. The award supports the integration of nanoscale, cellular, and tissue-level cardiac modeling to assess how factors like the distribution of ephaptic coupling and the complex structure of ischemic heart regions affect arrhythmia dynamics. The project also provides educational and training opportunities for graduate and undergraduate students through joint collaboration across the two institutions. The award period is from September 1, 2023 to August 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $172.0k | 8/7/23 |