This $500,000 Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) is designed to explore the potential of using cardiac muscle cells as the basis for a recurrent (Hopfield) neural network. The University of Notre Dame is the primary awardee and plans to work with sub-awardees on this interdisciplinary endeavor. The key objectives are to investigate whether cardiac muscle cell-based reprogrammable bio-oscillatory neural networks (CARBON) can...
This $299,844 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) supports the development of a microfluidic cortical organoid-vasculature platform at North Carolina Agricultural and Technical State University (NC A&T). The project aims to establish a new framework for "organoid-vasculature intelligence" by integrating the organoid platform with microelectrode array recording/stimulation and machine learning models. The...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is supporting a collaborative research effort focused on developing an intelligent lab-on-chip device to monitor and promote the maturation of stem cell-derived cardiomyocytes. The $192,150 award to the New York Institute of Technology (NYIT) aims to create an integrated system that can non-invasively evaluate cardiomyocyte maturity in real-time and adaptively apply electrical and mechanical...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $467,202 project grant to the Research Foundation of the City University of New York (RFCUNY) to develop an intelligent lab-on-chip device that can non-invasively monitor the maturation of stem cell-derived cardiomyocytes in real-time and apply adaptive biophysical stimulation to promote full cell maturation. The interdisciplinary research team from RFCUNY, City College of New York, and Rutgers University plans...
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...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $319,999 to the University of Notre Dame to develop an implantable neural interface platform with three key innovations: 1) optimized resistive RAM memory for efficient data storage, 2) programmable analog front-end circuits for high-density neural signal acquisition, and 3) specialized processors for energy-efficient computation of neural network operations. The goal is to create an...
The University of Notre Dame received a two-year, $120,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program to develop next-generation, self-evolving implantable medical devices. Through the award ending April 2025, the university will research cross-layer co-design approaches allowing dynamic adjustment of detection algorithms and hardware configurations in implantable devices based on individual patient data and circumstances. The goal is to...
This five-year, $397,457 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research into engineering autonomic control of cardiac tissues. The principal investigator will develop heterotypic multicellular models to measure the effects of autonomic innervation on cardiac contractile behavior and cellular composition. Stem cells will be differentiated into sympathetic and parasympathetic neurons and mixed with cardiomyocytes at different...
This $125,805 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop new cell sorting technologies that can identify and separate cells based on changes in the activity of naturally occurring light-emitting molecules like NAD(P)H. The goal is to enable label-free, rapid identification and purification of cell populations, with a focus on stem cells and their functional subsets. The research will create a single cell deposition module to...
This $100,000 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems supports the development of a 3D human stem cell cardiac model for cardiac electrophysiology medical device safety assessment. Funded under the NSF Engineering program (CFDA 47.041), this award will allow the University of Maryland, College Park to create a novel in vitro model for evaluating the safety and efficacy of cardiac medical devices through January...