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  • Open Access
  • © 2022

Computational Physiology

Simula Summer School 2021 − Student Reports

  • This book is open access, which means that you have free and unlimited access

  • Research case studies in computational physiology

  • A variety of numerical tools for simulating biological systems

  • Demonstrated tools and methods for modeling excitable tissue

Part of the book series: Simula SpringerBriefs on Computing (SBRIEFSC, volume 12)

Part of the book sub series: Reports on Computational Physiology (RCP)

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Softcover Book USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-05163-0
  • Dispatched in 3 to 5 business days
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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
  2. A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models

    • Lisa Pankewitz, Laryssa Abdala, Aadarsh Bussooa, Hermenegild Arevalo
    Pages 1-11Open Access
  3. 3D Simulations of Fetal and Maternal Ventricular Excitation for Investigating the Abdominal ECG

    • Julie Johanne Uv, Lena Myklebust, Hamid Khoshfekr Rudsari, Hannes Welle, Hermenegild Arevalo
    Pages 13-24Open Access
  4. Ordinary Differential Equation-based Modeling of Cells in Human Cartilage

    • Kei Yamamoto, Sophie Fischer-Holzhausen, Maria P Fjeldstad, Mary M Maleckar
    Pages 25-39Open Access
  5. Conduction Velocity in Cardiac Tissue as Function of Ion Channel Conductance and Distribution

    • Kristian Gregorius Hustad, Ena Ivanovic, Adrian Llop Recha, Abinaya Abbi Sakthivel
    Pages 41-50Open Access
  6. Computational Prediction of Cardiac Electropharmacology - How Much Does the Model Matter?

    • John Dawson, Anna Gams, Ivan Rajen, Andrew M Soltisz, Andrew G Edwards
    Pages 51-62Open Access
  7. A Computational Study of Flow Instabilities in Aneurysms

    • Nanna Berre, Gabriela Castro, Henrik Kjeldsberg, Rami Masri, Ingeborg Gjerde
    Pages 63-75Open Access
  8. Investigating the Multiscale Impact of Deoxyadenosine Triphosphate (dATP) on Pulmonary Arterial Hypertension (PAH) Induced Heart Failure

    • Kristen Garcia, Marcus Hock, Vikrant Jaltare, Can Uysalel, Kimberly J McCabe, Abigail Teitgen et al.
    Pages 77-90Open Access
  9. Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers

    • Bjørn Jostein Singstad, Bendik Steinsvåg Dalen, Sandhya Sihra, Nickolas Forsch, Samuel Wall
    Pages 91-109Open Access

About this book

This open access volume compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level physiology across scales and scientific questions.

In June through August of 2021, Simula held the seventh annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). The course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. The majority of the school consists of group research projects conducted by Masters and PhD students from around the world, and advised by scientists at Simula, UiO and UCSD. Each group then produced a report that addreses a specific problem of importance in physiology and presents a succinct summary of the findings. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier computational studies or experimental findings.

Reports from eight of the summer projects are included as separate chapters. The fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2–5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8).

Keywords

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

Editors and Affiliations

  • Simula Research Laboratory, Oslo, Norway

    Kimberly J. McCabe

Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-05163-0
  • Dispatched in 3 to 5 business days
  • Exclusive offer for individuals only
  • Free shipping worldwide
    See shipping information.
  • Tax calculation will be finalised during checkout