Computational Physiology : Simula Summer School 2022 Student Reports.

Bibliographic Details
Main Author: McCabe, Kimberly J.
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Edition:1st ed.
Series:Simula SpringerBriefs on Computing Series
Subjects:
Online Access:Click to View
Table of Contents:
  • Intro
  • Preface
  • Acknowledgements
  • Contents
  • Chapter 1 An Automated Cardiac Constitutive Modelling Framework with Evolutionary Strain Energy Functions
  • 1.1 Introduction
  • 1.2 Methods
  • 1.2.1 Basic Principles of Hyperelastic Continuum Mechanics
  • 1.2.2 Representation of the Strain-Energy Functions as Function Trees
  • 1.2.3 Fitting the Strain-Energy Functions to Experimental Data
  • 1.2.3.1 Experimental Data under Consideration
  • 1.2.3.2 Fitting to the Experimental Data
  • 1.2.4 Evolutionary Symbolic Regression Algorithm
  • 1.2.4.1 Setup and Initialisation
  • 1.2.4.2 Mutation and Mating of Strain-Energy Functions
  • 1.2.4.3 Scoring Fitness of Strain-Energy Functions
  • 1.3 Results
  • 1.3.1 Trial 1: SEF Describing the Shear Data
  • 1.3.2 Trial 2: SEF Describing the Shear and Biaxial Data
  • 1.4 Discussion
  • 1.5 Conclusions
  • References
  • Chapter 2 Electromechanical In Silico Testing Alters Predicted Drug-Induced Risk to Develop Torsade de Pointes
  • 2.1 Introduction
  • 2.2 Methods
  • 2.2.1 Drug Implementation
  • 2.2.2 SimCardEMS Simulations
  • 2.2.3 Evaluation
  • 2.3 Results
  • 2.3.1 Action Potential Duration
  • 2.3.2 ElectromechanicalWindow
  • 2.3.3 Maximum Active Tension
  • 2.3.4 In Silico and in Vitro TdP Risk Classifications
  • 2.4 Conclusions
  • References
  • Chapter 3 In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes
  • 3.1 Introduction
  • 3.2 Methods
  • 3.2.1 Modeling Ionic Changes Induced by Osteoarthritis in Male and Female Chondrocytes
  • 3.2.2 Generation of a Population of Models
  • 3.2.3 Model Parameter Sensitivity Analysis
  • 3.3 Results
  • 3.3.1 Modeling the Impact of Sex-Specific OA on Resting Membrane Potential
  • 3.3.2 Population of Models
  • 3.3.3 Parameter Sensitivity Analysis
  • 3.3.4 Inhibiting INaK Restores Normal Resting Membrane Potential in OA Chondrocytes.
  • 3.4 Discussion
  • 3.5 Conclusions
  • References
  • Chapter 4 Recapitulating Functional Heterogeneity in Electrophysiologically Active Tissues
  • 4.1 Introduction
  • 4.2 Methods
  • 4.2.1 Cardiomyocytes
  • 4.2.2 Islet β-cells
  • 4.3 Results
  • 4.3.1 Cardiomyocyte PoM
  • 4.3.2 Islet β-cell PoM
  • 4.4 Discussion
  • References
  • Chapter 5 Realizing Synaptic Signal Transmission During Astrocyte-Neuron Interactions within the EMI Framework
  • 5.1 Introduction
  • 5.2 Methods
  • 5.2.1 Representation of the Computational Domain
  • 5.2.2 Mathematical Modeling of Glutamate Dynamics
  • 5.2.3 Modeling AMPA Gating Dynamics
  • 5.2.4 Estimation of Model Parameters
  • 5.2.5 Numerical Methods
  • 5.3 Results
  • 5.4 Discussion
  • References
  • Chapter 6 Inducing Flow Instabilities in Aneurysm Geometries via the Reynolds-Orr Method
  • 6.1 Introduction
  • 6.2 Methods
  • 6.2.1 Reynolds-Orr Instability
  • 6.2.2 Unsteady Navier-Stokes FEM Discretization
  • 6.3 Results
  • 6.4 Discussion
  • References
  • Chapter 7 Impact of Pathological Vascular Remodelling on Right Ventricular Mechanics
  • 7.1 Introduction
  • 7.2 Methods
  • 7.2.1 Base Model of PAH
  • 7.2.2 Ventricular Interaction and the Pericardium
  • 7.2.3 Right Ventricular Remodelling and Baroreflex
  • 7.2.4 Atrial Septostomy
  • 7.2.5 Right Ventricular Assistive Device (RVAD)
  • 7.3 Results
  • 7.3.1 Sensitivity Analysis
  • 7.3.2 Ventricular Interaction and the Pericardium
  • 7.3.3 Remodelling the Right Ventricle
  • 7.3.4 Atrial Septostomy
  • 7.3.5 Right Ventricular Assistive Device
  • 7.4 Discussion
  • 7.5 Conclusion
  • References.