AIMC Topic: Myocytes, Cardiac

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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...
Gene Regulatory Networks Humans Genetic Predisposition to Disease Aged Magnetic Resonance Imaging Male Receptor, IGF Type 1 Phenotype Hypertrophy, Left Ventricular Middle Aged Female Epistasis, Genetic Deep Learning Induced Pluripotent Stem Cells Genome-Wide Association Study Connectin Heart Failure Ventricular Remodeling Myocytes, Cardiac
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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...
Cardiomyopathies Induced Pluripotent Stem Cells Cell Differentiation Humans Regenerative Medicine Precision Medicine Myocytes, Cardiac Animals
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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...
Machine Learning Animals Male Humans Myocytes, Cardiac Citalopram Selective Serotonin Reuptake Inhibitors Escitalopram Mice Signal Transduction Cardiomegaly
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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 Neural Networks, Computer Brain Computer Simulation Heart Heart Rate Animals Action Potentials Humans
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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 ...
Microelectrodes Electrophysiological Phenomena Nanotechnology Myocytes, Cardiac Electrophysiology Deep Learning Action Potentials Humans Animals
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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 Machine Learning Animals Calcium Algorithms Computer Simulation Myocytes, Cardiac
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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...
Myocytes, Cardiac Trastuzumab Cardiotoxicity Female Animals Mice Computational Biology Humans Machine Learning
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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.
Diabetes Mellitus, Type 2 Single-Cell Analysis Humans Gene Regulatory Networks Middle Aged Machine Learning Coronary Artery Disease Aged Gene Expression Profiling Myocytes, Cardiac Male Female Transcriptome Myocytes, Smooth Muscle Genetic Predisposition to Disease Fibroblast Growth Factor 7 Computational Biology Databases, Genetic
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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 ...
Myocardial Contraction Drug Evaluation, Preclinical Myocytes, Cardiac Tissue Engineering Humans Machine Learning Cells, Cultured
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Float like a butterfly, swim like a biohybrid neuromuscular robot.

Science robotics Sep 25, 2024
A butterfly-like robot swims using an electronic device to stimulate human-derived motor neurons and cardiac muscle cells.
Swimming Equipment Design Motor Neurons Biomimetics Humans Myocytes, Cardiac Animals Robotics
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