Project Grant 2222066
- 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 $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 federal Project Grant award of $489,874 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports a research program at Michigan State University (MSU) to study how epithelial cells respond to prolonged mechanical loads. The central goal of the research is to characterize the "tensioning" phenomenon in epithelial cells as a protective stress response mechanism, and to delineate the underlying mechanosensing processes that mediate this response. This...
- This $550,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Michigan State University to develop new electrode interfaces and synthetic NADH mimics to enable rapid, selective regeneration of NADH-like cofactors using electricity. The project consists of three synergistic aims: (1) using thermostable NADH dehydrogenases to create NADH mimics that can be regenerated via mediated bioelectrocatalysis, (2) developing...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Engineering program (CFDA 47.041) to Michigan State University (MSU) for the project "NSF-SNSF:LEARNING DISENTANGLED GRAPH REPRESENTATIONS FOR BIOMEDICINE". The project aims to develop a comprehensive disentangled graph representation learning framework to address the complexities of graph-structured data in biomedical applications. This includes structured disentangled multi-view graph inference,...
- The University of Michigan was awarded a $359,999 Project Grant from the National Science Foundation Division of Mathematical Sciences on August 1, 2021 to improve physiological modeling with machine learning. The grant is part of NSF's Mathematical and Physical Sciences program (CFDA 47.049) to advance scientific knowledge and understanding of major problems. Under the three-year award concluding on July 31, 2024, the University of Michigan will apply machine learning techniques to develop more...
- 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...
- This Project Grant from the National Science Foundation Division of Molecular and Cellular Biosciences provides $1,068,886 to Michigan State University under the Biological Sciences program (CFDA 47.074) from December 15, 2022 through November 30, 2025. The grant supports research examining the effects of shear flow on transient biomolecular interactions and aggregation in dense biological environments through integrated experimental and computational approaches. Michigan State University will...
- 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 Program (CFDA 47.041) Project Grant award of $600,000 to Dartmouth College aims to develop methodologies for efficiently manufacturing mature human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) to accelerate drug development and cardiac disease modeling. The project will employ biochip design, machine learning, developmental biology, and tissue engineering approaches to enhance the structural and functional maturity of...
Michigan State University was awarded a $416,955 Project Grant from the National Science Foundation's (NSF) Engineering (47.041) program to elucidate the myocardial energy demand-supply-production feedback system. Under this award running from June 2023 to May 2026, the University will utilize advanced computational modeling and experimental validation techniques to further understand the critical feedback loops that regulate cardiac function under both normal and pathological conditions. Specifically, the University will elucidate primary coupling factors between cardiac mechanics, metabolism, and blood flow regulation using a multiscale computational model. It will then resolve the relationship between microvascular function and mitochondrial energetics and validate the integrated model using data from healthy and diseased animal studies. This research aims to advance fundamental knowledge of heart function and energy regulation, with potential long-term benefits for society.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $417.0k | 6/6/23 |