Computational modeling of cardiac disease: Potential for personalized medicine

Matthias Reumann, Viatcheslav Gurev, John Jeremy Rice

Research output: Contribution to journalArticle

Abstract

Cardiovascular diseases are leading causes of death, reduce life quality and consume almost half a trillion dollars in healthcare expenses in the USA alone. Cardiac modeling and simulation technologies hold promise as important tools to improve cardiac care and are already in use to elucidate the fundamental mechanisms of cardiac physiology and pathophysiology. However, the emphasis has been on simulating average or exemplar cases. This report describes two classes of cardiac modeling efforts. First, electrophysiological models of channelopathies simulate the altered electrical activity that is thought to promote arrhythmias. Second, electromechanical models attempt to capture both the electrophysiological and mechanical aspects of heart function. One goal of the community is to develop models with sufficient patient customization to assist in personalized treatment planning. Some model aspects can be customized with existing data collection techniques to more closely represent individual patients while other model aspects will likely remain based on generic data. Despite important challenges, cardiac models hold promise to be important enablers of personalized medicine.

Original languageEnglish (US)
Pages (from-to)45-66
Number of pages22
JournalPersonalized Medicine
Volume6
Issue number1
DOIs
StatePublished - 2009

Fingerprint

Precision Medicine
Heart Diseases
Channelopathies
Cardiac Arrhythmias
Cause of Death
Cardiovascular Diseases
Quality of Life
Technology
Delivery of Health Care
Therapeutics

Keywords

  • Cardiology
  • Cardiovascular disease electromechanical models
  • Channelopathies
  • Defomation models
  • Electrophysiological models

ASJC Scopus subject areas

  • Molecular Medicine
  • Pharmacology
  • Medicine(all)

Cite this

Computational modeling of cardiac disease : Potential for personalized medicine. / Reumann, Matthias; Gurev, Viatcheslav; Rice, John Jeremy.

In: Personalized Medicine, Vol. 6, No. 1, 2009, p. 45-66.

Research output: Contribution to journalArticle

Reumann, Matthias ; Gurev, Viatcheslav ; Rice, John Jeremy. / Computational modeling of cardiac disease : Potential for personalized medicine. In: Personalized Medicine. 2009 ; Vol. 6, No. 1. pp. 45-66.
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