AIMC Topic: Myocytes, Cardiac
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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 ...
Computer Simulation
Deep Learning
Action Potentials
Cell Differentiation
Humans
Algorithms
Models, Biological
Induced Pluripotent Stem Cells
Gene Expression Regulation
Sulfonamides
Electrophysiologic Techniques, Cardiac
Phenethylamines
Electrophysiological Phenomena
ERG1 Potassium Channel
Myocytes, Cardiac
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 ...
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...
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...
Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.
Circulation research
Jun 3, 2020
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...
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...
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...
Clinical Significance of Circulating Cardiomyocyte-Specific Cell-Free DNA in Patients With Heart Failure: A Proof-of-Concept Study.
The Canadian journal of cardiology
Oct 19, 2019
We investigated clinical significance of cell-free DNA (cfDNA) in heart failure. This study enrolled 32 heart failure patients and 28 control subjects. Total cfDNA levels were not different between groups (P = 0.343). Bisulfite-digital polymerase cha...
Novel Screening Method Identifies PI3Kα, mTOR, and IGF1R as Key Kinases Regulating Cardiomyocyte Survival.
Journal of the American Heart Association
Oct 16, 2019
Background Small molecule kinase inhibitors (KIs) are a class of agents currently used for treatment of various cancers. Unfortunately, treatment of cancer patients with some of the KIs is associated with cardiotoxicity, and there is an unmet need fo...
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