AIMC Topic: Myocytes, Cardiac

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Variability in reported midpoints of (in)activation of cardiac INa.

The Journal of general physiology Jul 16, 2025
Electrically active cells like cardiomyocytes show variability in their size, shape, and electrical activity. But should we expect variability in the properties of their ionic currents? In this meta-analysis, we gather and visualize measurements of t...
Action Potentials Sodium Myocytes, Cardiac Sodium Channels Humans Animals
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Epistasis regulates genetic control of cardiac hypertrophy.

Nature cardiovascular research Jun 5, 2025
Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remain in their infancy. Here we develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy, u...
Hypertrophy, Left Ventricular Epistasis, Genetic Induced Pluripotent Stem Cells Heart Failure Ventricular Remodeling Myocytes, Cardiac Middle Aged Connectin Deep Learning Genome-Wide Association Study Magnetic Resonance Imaging Female Receptor, IGF Type 1 Gene Regulatory Networks Humans Aged Genetic Predisposition to Disease Phenotype Male
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Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

International journal of molecular sciences May 22, 2025
Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, arrhythmias, and sudden cardiac death. Traditional animal models and in vitro systems have limitations in replicating the complex pathology of human c...
Cell Differentiation Regenerative Medicine Myocytes, Cardiac Cardiomyopathies Humans Precision Medicine Animals Induced Pluripotent Stem Cells
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Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.

Proceedings of the National Academy of Sciences of the United States of America Mar 4, 2025
Cardiomyocyte hypertrophy is a key clinical predictor of heart failure. High-throughput and AI-driven screens have the potential to identify drugs and downstream pathways that modulate cardiomyocyte hypertrophy. Here, we developed LogiRx, a logic-bas...
Citalopram Selective Serotonin Reuptake Inhibitors Escitalopram Signal Transduction Cardiomegaly Myocytes, Cardiac Humans Male Mice Machine Learning Animals
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Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation.

Neuroinformatics Feb 1, 2025
The bidirectional interactions between brain and heart through autonomic nervous system is the prime focus of neuro-cardiology community. The computer models designed to analyze brain and heart signals are either complex in terms of molecular and cel...
Myocytes, Cardiac Autonomic Nervous System Action Potentials Heart Heart Rate Brain Computer Simulation Animals Humans Neural Networks, Computer
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Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings.

Nature communications Jan 14, 2025
Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells' electrical properties. Traditional methods like patch-clamp are precise but low-throughput and invasive. Nanoelectrode Arrays (NEAs) offer ...
Nanotechnology Myocytes, Cardiac Electrophysiology Microelectrodes Electrophysiological Phenomena Animals Deep Learning Humans Action Potentials
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A Graph-Based Machine-Learning Approach Combined with Optical Measurements to Understand Beating Dynamics of Cardiomyocytes.

Journal of computational biology : a journal of computational molecular cell biology Dec 9, 2024
The development of computational models for the prediction of cardiac cellular dynamics remains a challenge due to the lack of first-principled mathematical models. We develop a novel machine-learning approach hybridizing physics simulation and graph...
Humans Animals Calcium Myocytes, Cardiac Machine Learning Algorithms Computer Simulation
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Exploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.

Scientific reports Dec 3, 2024
Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, which can seriously harm the health of cancer patients. However, there is currently a lack of effective and reliable biomarkers for the early diagnosis of...
Humans Machine Learning Female Computational Biology Myocytes, Cardiac Animals Mice Trastuzumab Cardiotoxicity
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Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.

BMC cardiovascular disorders Nov 5, 2024
BACKGROUND: Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary artery disease (CAD). Exploring biological targets common to T2DM and CAD is essential for CAD intervention strategies.
Myocytes, Smooth Muscle Fibroblast Growth Factor 7 Databases, Genetic Single-Cell Analysis Gene Regulatory Networks Coronary Artery Disease Myocytes, Cardiac Genetic Predisposition to Disease Computational Biology Humans Machine Learning Female Aged Male Middle Aged Gene Expression Profiling Transcriptome Diabetes Mellitus, Type 2
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Enhanced drug classification using machine learning with multiplexed cardiac contractility assays.

Pharmacological research Oct 11, 2024
Cardiac screening of newly discovered drugs remains a longstanding challenge for the pharmaceutical industry. While therapeutic efficacy and cardiotoxicity are evaluated through preclinical biochemical and animal testing, 90 % of lead compounds fail ...
Humans Myocytes, Cardiac Machine Learning Myocardial Contraction Tissue Engineering Cells, Cultured Drug Evaluation, Preclinical
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