Computational Physiology

1. Front Matter

   Pages i-xii

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2. An Automated Cardiac Constitutive Modelling Framework with Evolutionary Strain Energy Functions

   • Kristin Ludwicki, Leto L Riebel, Sophia Ohnemus, Frida M E Westby, Nickolas Forsch, Gabriel Balaban

   Pages 1-17Open Access

3. Electromechanical In Silico Testing Alters Predicted Drug-Induced Risk to Develop Torsade de Pointes

   • Anna Busatto, Jonathan Krauß, Evianne Kruithof, Hermenegild Arevalo, Ilse van Herck

   Pages 19-29Open Access

4. In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes

   • Khoa Ngo, Nathaniel T Herrera, Milda Folkmanaite, Kei Yamamoto, Mary M Maleckar

   Pages 31-44Open Access

5. Recapitulating Functional Heterogeneity in Electrophysiologically Active Tissues

   • Meye Bloothooft, Joseph G Shuttleworth, Gabriel Neiman, Ishan Goswami, Andrew G Edwards

   Pages 45-64Open Access

6. Realizing Synaptic Signal Transmission During Astrocyte-Neuron Interactions within the EMI Framework

   • Julia Gorman, Konstantin Holzhausen, Joyce Reimer, Jørgen Riseth

   Pages 65-78Open Access

7. Inducing Flow Instabilities in Aneurysm Geometries via the Reynolds-Orr Method

   • Alessandro Contri, Christina Taylor, Justin Tso, Ingeborg Gjerde

   Pages 79-89Open Access

8. Impact of Pathological Vascular Remodelling on Right Ventricular Mechanics

   • Jiaxin (Katie) Cui, Mariluz Rojo Domingo, Ryan Konno, Claudia A Manetti, George Kagugube, Oscar Odeigah et al.

   Pages 91-109Open Access

This open access volume compiles student reports from the 2022 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions.  

In 2022, Simula held the eighth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies.

Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning.

 

• Open Access
• Computational Physiology
• Scientific computing
• Electrophysiology
• Electromechanics
• Pharmacology
• Cardiac Mechanics
• Machine learning
• Fluid mechanics
• Bioengineering
• Numerical analysis

• Simula Research Laboratory, Oslo, Norway

  Kimberly J. McCabe