Editorial: Computational modeling for assessing coronary artery pathophysiology

Malcolm Cowburn; Brid Featherstone

doi:10.13025/24996

Editorial: Computational modeling for assessing coronary artery pathophysiology

Malcolm Cowburn
, Brid Featherstone

Medicine

St Bartholomew's Hospital
University of Health Sciences
University College London
Queen Mary University of London
University of Cambridge
Brigham and Women's Hospital
National Heart and Lung Institute
Barts and The London School of Medicine and Dentistry

Research output: Contribution to a Journal (Peer & Non Peer) › Editorial

3 Citations (Scopus)

Original language	English
Article number	1113835
Journal	Frontiers in Cardiovascular Medicine
Volume	10
DOIs	https://doi.org/10.13025/24996 https://doi.org/10.3389/fcvm.2023.1113835 https://doi.org/10.1177/0261018309358287
Publication status	Published - 17 Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

computational fluid dynamics
coronary artery disease
endothelial shear stress
intravascular imaging
plaque structural stress

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Cite this

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title = "Editorial: Computational modeling for assessing coronary artery pathophysiology",

keywords = "computational fluid dynamics, coronary artery disease, endothelial shear stress, intravascular imaging, plaque structural stress",

author = "Malcolm Cowburn and Brid Featherstone",

year = "2023",

month = jan,

day = "17",

doi = "10.13025/24996",

language = "English",

volume = "10",

journal = "Frontiers in Cardiovascular Medicine",

issn = "2297-055X",

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TY - JOUR

T1 - Editorial

T2 - Computational modeling for assessing coronary artery pathophysiology

AU - Cowburn, Malcolm

AU - Featherstone, Brid

PY - 2023/1/17

Y1 - 2023/1/17

KW - computational fluid dynamics

KW - coronary artery disease

KW - endothelial shear stress

KW - intravascular imaging

KW - plaque structural stress

UR - http://hdl.handle.net/10379/10938

UR - https://www.scopus.com/pages/publications/85147176041

U2 - 10.13025/24996

DO - 10.13025/24996

M3 - Editorial

SN - 2297-055X

VL - 10

JO - Frontiers in Cardiovascular Medicine

JF - Frontiers in Cardiovascular Medicine

M1 - 1113835

ER -

Editorial: Computational modeling for assessing coronary artery pathophysiology

UN SDGs

Keywords

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