Document Detail


Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones.
MedLine Citation:
PMID:  23104919     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article reviews the latest developments in computational cardiology. It focuses on the contribution of cardiac modelling to the development of new therapies as well as the advancement of existing ones for cardiac arrhythmias and pump dysfunction. Reviewed are cardiac modelling efforts aimed at advancing and optimizing existent therapies for cardiac disease (defibrillation, ablation of ventricular tachycardia, and cardiac resynchronization therapy) and at suggesting novel treatments, including novel molecular targets, as well as efforts to use cardiac models in stratification of patients likely to benefit from a given therapy, and the use of models in diagnostic procedures.
Authors:
Natalia A Trayanova; Thomas O'Hara; Jason D Bayer; Patrick M Boyle; Kathleen S McDowell; Jason Constantino; Hermenegild J Arevalo; Yuxuan Hu; Fijoy Vadakkumpadan
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Review    
Journal Detail:
Title:  Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology     Volume:  14 Suppl 5     ISSN:  1532-2092     ISO Abbreviation:  Europace     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-10-29     Completed Date:  2013-04-25     Revised Date:  2013-11-05    
Medline Journal Info:
Nlm Unique ID:  100883649     Medline TA:  Europace     Country:  England    
Other Details:
Languages:  eng     Pagination:  v82-v89     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. ntrayanova@jhu.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Arrhythmias, Cardiac / diagnosis,  physiopathology*,  therapy*
Cardiology / trends
Computational Biology / trends
Computer Simulation
Forecasting*
Humans
Models, Cardiovascular*
Therapy, Computer-Assisted / methods*,  trends*
Grant Support
ID/Acronym/Agency:
HL099275/HL/NHLBI NIH HHS; HL103090/HL/NHLBI NIH HHS; HL103428/HL/NHLBI NIH HHS; R01 HL103428/HL/NHLBI NIH HHS; R01 HL105216/HL/NHLBI NIH HHS
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