This National Science Foundation (NSF) Biological Sciences program Project Grant, with an award date of October 1, 2023 and total funding of $256,667.00, supports the development of advanced computational models to measure cellular traits in microscopy images. The goal is to create a universal deep-learning model that can readily quantify cell morphology in any microscopy image, with minimal training required. Specific objectives include developing methods for learning and extracting...
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 $189,686 Project Grant award from the National Institutes of Health (NIH) National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports a 3-year research project at Purdue University to elucidate stem cell dynamics in the gametophytes of the fern Ceratopteris. The goal is to uncover the cellular and molecular interactions that drive tissue growth and meristem formation in this model system, and to develop data-driven...
This National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences project grant for $300,000 aims to engineer shape-morphing materials as cell sheet culturing substrates to develop human tissues with controllable shape, cellular composition, and morphology. The 3-year project, beginning on September 1, 2023, will use thermoresponsive hydrogels to enable cell sheet expulsion and explore how material characteristics impact stem cell fate. Additionally, the project seeks...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $250,000 Project Grant to the University of Pittsburgh to conduct mathematical analyses of multidimensional single cell transcriptional vector fields. The 3-year grant, titled "EMB: Mathematical Analyses of Multidimensional Single Cell Transcriptional Vector Fields," aims to develop data-driven mathematical models describing how genes coordinately regulate the development of different cell types, such...
This $500,000 Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) will support the University of Notre Dame's research exploring the differentiation of stem cells into patterned blood vessel networks using hybrid memristor technology. Over a four-year period from October 2022 to September 2026, the University will engineer the first autonomous hybrid memory resistor and cell culture device to control human pluripotent stem cell differentiation into...
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 federal Project Grant award of $200,000, made by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to integrate non-viral CRISPR gene activation and deep learning to understand the impact of cell manipulation and gene activation on stem cell differentiation. The key objectives are to: (1) decouple the effects of cell transfection and CRISPR-mediated activation (CRISPRa) on mesenchymal stromal cell (MSC) therapeutic capacity, and (2) bridge the gap...
This five-year, $510,365 National Science Foundation project grant will develop machine learning methods to analyze multi-modal single-cell data from complex brains and decipher cell-type functional genomics. Specifically, the awardee University of Wisconsin-Madison will deliver novel machine learning models and comparative network analysis approaches to integrate gene expression, morphology, electrophysiology and other data from thousands of individual brain cells. The goals are to reveal...
The National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $601,071 Project Grant to Texas A&M Engineering Experiment Station (Tees), a division of the Texas A&M University System, to conduct research under the NSF Engineering program (CFDA 47.041). The goal of this 3-year project is to develop a predictive mathematical model of the relationship between bone morphogenetic protein (BMP) signaling and stem cell differentiation...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program aims to develop novel explainable and physics-informed machine learning models to enhance the accuracy and reliability of cell type identification for human-induced pluripotent stem cells (hiPSCs). With a total funding of $263,081, the project seeks to overcome challenges in the adoption and scalability of hiPSC technology by creating machine learning algorithms that leverage single-cell RNA sequencing and imaging data to provide interpretable cell typing predictions. The research will also integrate biological knowledge into the machine learning frameworks to address data scarcity. This work, carried out by Purdue University, will significantly advance the field of stem cell research and its applications in regenerative medicine and oncology.