AIMC Topic: Myocytes, Cardiac

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Automated quantification and statistical assessment of proliferating cardiomyocyte rates in embryonic hearts.

American journal of physiology. Heart and circulatory physiology Dec 23, 2022
The use of digital image analysis and count regression models contributes to the reproducibility and rigor of histological studies in cardiovascular research. The use of formalized computer-based quantification strategies of histological images essen...
Artificial Intelligence Image Processing, Computer-Assisted Mice Myocytes, Cardiac Algorithms Reproducibility of Results Animals
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A deep learning platform to assess drug proarrhythmia risk.

Cell stem cell Dec 22, 2022
Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro model for predicting drug-induced cardiac arrhythmia. However, the extent to which human-defined features of in vitro arrhythmia predict actual clinica...
Induced Pluripotent Stem Cells Torsades de Pointes Humans Arrhythmias, Cardiac Deep Learning Myocytes, Cardiac Action Potentials
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CardioVinci: building blocks for virtual cardiac cells using deep learning.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Oct 3, 2022
Advances in electron microscopy (EM) such as electron tomography and focused ion-beam scanning electron microscopy provide unprecedented, three-dimensional views of cardiac ultrastructures within sample volumes ranging from hundreds of nanometres to ...
Myocytes, Cardiac Humans Electron Microscope Tomography Deep Learning Sarcomeres Image Processing, Computer-Assisted
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Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning.

Biochemical and biophysical research communications Oct 1, 2022
The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this ...
Deep Learning Mice Rats Cells, Cultured Animals Cardiomegaly Myocytes, Cardiac Ezetimibe Cholesterol Drug Evaluation, Preclinical Heart Failure Angiotensin II Endothelin-1
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De novo spatiotemporal modelling of cell-type signatures in the developmental human heart using graph convolutional neural networks.

PLoS computational biology Aug 12, 2022
With the emergence of high throughput single cell techniques, the understanding of the molecular and cellular diversity of mammalian organs have rapidly increased. In order to understand the spatial organization of this diversity, single cell data is...
Neural Networks, Computer Animals Cell Differentiation Mammals Myocytes, Cardiac Humans
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Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Science translational medicine Jul 6, 2022
Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enlargement of left ventricular chambers. These characteristics eventually lead to heart failure. Current standards of care do not target the underlying ...
Apoptosis Regulatory Proteins Cardiomyopathy, Dilated Myocytes, Cardiac Histone Deacetylase Inhibitors Stroke Volume Animals Deep Learning Ventricular Function, Left Mice Disease Models, Animal Adaptor Proteins, Signal Transducing Heart Failure
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Acoustic Fabrication of Living Cardiomyocyte-based Hybrid Biorobots.

ACS nano Jun 7, 2022
Organized assemblies of cells have demonstrated promise as bioinspired actuators and devices; still, the fabrication of such "biorobots" has predominantly relied on passive assembly methods that reduce design capabilities. To address this, we have de...
Robotics Tissue Engineering Acoustics Myocytes, Cardiac
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Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing.

Journal of tissue engineering and regenerative medicine May 27, 2022
Utilizing recent advances in human induced pluripotent stem cell (hiPSC) technology, nonlinear analysis and machine learning we can create novel tools to evaluate drug-induced cardiotoxicity on human cardiomyocytes. With cardiovascular disease remain...
Nonlinear Dynamics Inhibitory Concentration 50 Myocytes, Cardiac Cardiotoxicity Induced Pluripotent Stem Cells Machine Learning Algorithms Pharmaceutical Preparations Humans Artificial Intelligence
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Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells.

Stem cell reports Dec 2, 2021
Efficient translation of human induced pluripotent stem cells (hiPSCs) requires scalable cell manufacturing strategies for optimal self-renewal and functional differentiation. Traditional manual cell culture is variable and labor intensive, posing ch...
Myocytes, Cardiac Cells, Cultured Automation Induced Pluripotent Stem Cells Zika Virus Infection Humans Single-Cell Analysis Reference Standards Neurons RNA-Seq Human Embryonic Stem Cells Robotics Cell Culture Techniques Embryoid Bodies Hepatocytes Cell Lineage Cell Differentiation
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Isolation and reconstruction of cardiac mitochondria from SBEM images using a deep learning-based method.

Journal of structural biology Nov 3, 2021
Mitochondrial morphological defects are a common feature of diseased cardiac myocytes. However, quantitative assessment of mitochondrial morphology is limited by the time-consuming manual segmentation of electron micrograph (EM) images. To advance un...
Mitochondria Deep Learning Myocytes, Cardiac Image Processing, Computer-Assisted
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