Computational Physiology
portes grátis
Computational Physiology
Simula Summer School 2021 ? Student Reports
McCabe, Kimberly J.
Springer International Publishing AG
05/2022
109
Mole
Inglês
9783031051630
15 a 20 dias
203
Descrição não disponível.
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG.- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage.- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution.- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter?.- A Computational Study of Flow Instabilities in Aneurysms.- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure.- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.
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Computational Physiology;Scientific computing;Open Access;Electrophysiology;Pharmacology;Mechanics;Machine learning;Fluid mechanics;Bioengineering;Numerical analysis
A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG.- Ordinary Differential Equation-based Modeling of Cells in Human Cartilage.- Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution.- Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter?.- A Computational Study of Flow Instabilities in Aneurysms.- Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure.- Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
