Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction.

Abstract:

:Predictive computational modelling in biomedical research offers the potential to integrate diverse data, uncover biological mechanisms that are not easily accessible through experimental methods and expose gaps in knowledge requiring further research. Recent developments in computing and diagnostic technologies have initiated the advancement of computational models in terms of complexity and specificity. Consequently, computational modelling can increasingly be utilised as enabling and complementing modality in the clinic-with medical decisions and interventions being personalised. Myocardial infarction and heart failure are amongst the leading causes of death globally despite optimal modern treatment. The development of novel MI therapies is challenging and may be greatly facilitated through predictive modelling. Here, we review the advances in patient-specific modelling of cardiac mechanics, distinguishing specificity in cardiac geometry, myofibre architecture and mechanical tissue properties. Thereafter, the focus narrows to the mechanics of the infarcted heart and treatment of myocardial infarction with particular attention on intramyocardial biomaterial delivery.

journal_name

Heart Fail Rev

journal_title

Heart failure reviews

authors

Sack KL,Davies NH,Guccione JM,Franz T

doi

10.1007/s10741-016-9528-9

subject

Has Abstract

pub_date

2016-11-01 00:00:00

pages

815-826

issue

6

eissn

1382-4147

issn

1573-7322

pii

10.1007/s10741-016-9528-9

journal_volume

21

pub_type

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