AIMC Topic: Myocytes, Cardiac

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Artificial Intelligence Based Framework to Quantify the Cardiomyocyte Structural Integrity in Heart Slices.

Cardiovascular engineering and technology Aug 16, 2021
PURPOSE: Drug induced cardiac toxicity is a disruption of the functionality of cardiomyocytes which is highly correlated to the organization of the subcellular structures. We can analyze cellular structures by utilizing microscopy imaging data. Howev...
Neural Networks, Computer Artificial Intelligence Image Processing, Computer-Assisted Myocytes, Cardiac
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Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes.

eLife Aug 2, 2021
Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-stage drug attrition, pharmaceutical and biotechnology industries need to establish biologically relevant models that use phenotypic screening to dete...
Drug Evaluation, Preclinical Myocytes, Cardiac Cardiotoxicity Induced Pluripotent Stem Cells Deep Learning Heart
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A deep learning algorithm to translate and classify cardiac electrophysiology.

eLife Jul 2, 2021
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology, and pharmacology. We designed a new deep learning multitask network ...
ERG1 Potassium Channel Action Potentials Cell Differentiation Electrophysiological Phenomena Humans Models, Biological Sulfonamides Myocytes, Cardiac Induced Pluripotent Stem Cells Computer Simulation Phenethylamines Electrophysiologic Techniques, Cardiac Gene Expression Regulation Algorithms Deep Learning
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Sex-Specific Classification of Drug-Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning.

Clinical pharmacology and therapeutics Apr 19, 2021
Torsade de Pointes (TdP), a rare but lethal ventricular arrhythmia, is a toxic side effect of many drugs. To assess TdP risk, safety regulatory guidelines require quantification of hERG channel block in vitro and QT interval prolongation in vivo for ...
Humans Machine Learning Male Risk Assessment Models, Biological Sex Factors Computer Simulation Female Risk Factors Myocytes, Cardiac Torsades de Pointes Calcium Isotopes
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Artificial neural network model for predicting changes in ion channel conductance based on cardiac action potential shapes generated via simulation.

Scientific reports Apr 9, 2021
Many studies have revealed changes in specific protein channels due to physiological causes such as mutation and their effects on action potential duration changes. However, no studies have been conducted to predict the type of protein channel abnorm...
Ion Channel Gating Cardiac Electrophysiology Neurons Myocytes, Cardiac Ion Channels Neural Networks, Computer Single-Cell Analysis Action Potentials Machine Learning Computer Simulation
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Machine learning identifies abnormal Ca transients in human induced pluripotent stem cell-derived cardiomyocytes.

Scientific reports Oct 12, 2020
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide an excellent platform for potential clinical and research applications. Identifying abnormal Ca transients is crucial for evaluating cardiomyocyte function that requires l...
Myocytes, Cardiac Induced Pluripotent Stem Cells Sensitivity and Specificity Calcium High-Throughput Screening Assays Machine Learning Algorithms Cells, Cultured Humans
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Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.

Circulation research Jun 3, 2020
Reproducibility of Results Animals Biomarkers Microscopy Myocytes, Cardiac Myosin Heavy Chains Immunohistochemistry Cell Nucleus Deep Learning Fluorescent Dyes Integrases Mice, Transgenic Troponin T Image Processing, Computer-Assisted Indoles Mice
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Analysis of Drug Effects on iPSC Cardiomyocytes with Machine Learning.

Annals of biomedical engineering May 4, 2020
Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) offer an attractive experimental platform to investigate cardiac diseases and therapeutic outcome. In this study, iPSC-CMs were utilized to study their calcium transient...
Calcium Signaling Adrenergic Agonists Dantrolene Humans Polymorphic Catecholaminergic Ventricular Tachycardia Epinephrine Machine Learning Muscle Relaxants, Central Tachycardia, Ventricular Cell Line Induced Pluripotent Stem Cells Myocytes, Cardiac
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Machine-learning-based quality control of contractility of cultured human-induced pluripotent stem-cell-derived cardiomyocytes.

Biochemical and biophysical research communications Apr 4, 2020
The precise and early assessment of cardiotoxicity is fundamental to bring forward novel drug candidates to the pharmaceutical market and to avoid their withdrawal from the market. Recent preclinical studies have attempted to use human-induced plurip...
Machine Learning Cells, Cultured Models, Biological Drug Evaluation, Preclinical Humans Cardiotoxicity Microscopy Induced Pluripotent Stem Cells Myocardial Contraction Quality Control Myocytes, Cardiac
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Bioinspired Soft Robot with Incorporated Microelectrodes.

Journal of visualized experiments : JoVE Feb 28, 2020
Bioinspired soft robotic systems that mimic living organisms using engineered muscle tissue and biomaterials are revolutionizing the current biorobotics paradigm, especially in biomedical research. Recreating artificial life-like actuation dynamics i...
Microelectrodes Hydrogels Tissue Engineering Robotics Myocardium Polyethylene Glycols Animals Rats Rats, Sprague-Dawley Biocompatible Materials Biomimetics Nanotubes, Carbon Myocytes, Cardiac Tissue Scaffolds Myocardial Contraction
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