McCabe | Computational Physiology | Buch | 978-3-031-05163-0 | sack.de

Buch, Englisch, 109 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 201 g

Reihe: Reports on Computational Physiology

McCabe

Computational Physiology

Simula Summer School 2021 ¿ Student Reports
1. Auflage 2022
ISBN: 978-3-031-05163-0
Verlag: Springer International Publishing

Simula Summer School 2021 ¿ Student Reports

Buch, Englisch, 109 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 201 g

Reihe: Reports on Computational Physiology

ISBN: 978-3-031-05163-0
Verlag: Springer International Publishing


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).

McCabe Computational Physiology jetzt bestellen!

Zielgruppe


Graduate


Autoren/Hrsg.


Weitere Infos & Material


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.