Computational Physiology Simula Summer School 2021 − Student Reports /

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 p...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: McCabe, Kimberly J. (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Reports on Computational Physiology, 12
Subjects:
Online Access:Link to Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a22000005i 4500
001 978-3-031-05164-7
003 DE-He213
005 20240322073105.0
007 cr nn 008mamaa
008 220508s2022 sz | s |||| 0|eng d
020 |a 9783031051647  |9 978-3-031-05164-7 
024 7 |a 10.1007/978-3-031-05164-7  |2 doi 
050 4 |a QA71-90 
072 7 |a PBKS  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
072 7 |a PBKS  |2 thema 
082 0 4 |a 003.3  |2 23 
245 1 0 |a Computational Physiology  |h [electronic resource] :  |b Simula Summer School 2021 − Student Reports /  |c edited by Kimberly J. McCabe. 
250 |a 1st ed. 2022. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2022. 
300 |a XI, 109 p. 47 illus., 45 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Reports on Computational Physiology,  |x 2730-7743 ;  |v 12 
505 0 |a 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. 
506 0 |a Open Access 
520 |a 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. Reportsmay 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). 
650 0 |a Mathematics  |x Data processing. 
650 0 |a Biomathematics. 
650 0 |a Biomedical engineering. 
650 1 4 |a Computational Science and Engineering. 
650 2 4 |a Mathematical and Computational Biology. 
650 2 4 |a Biomedical Engineering and Bioengineering. 
650 2 4 |a Computational Mathematics and Numerical Analysis. 
700 1 |a McCabe, Kimberly J.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783031051630 
776 0 8 |i Printed edition:  |z 9783031051654 
830 0 |a Reports on Computational Physiology,  |x 2730-7743 ;  |v 12 
856 4 0 |u https://doi.org/10.1007/978-3-031-05164-7  |z Link to Metadata 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
912 |a ZDB-2-SOB 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)