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Thesis

Model-driven design and uncertainty quantification for cardiac electrophysiology experiments

Abstract:

The goal of systems biology is to provide a predictive and quantitative understanding of complex biological systems and their experimental data using mathematical and computational models. Mathematical modelling and computational simulation has been a crucial tool for basic research in cardiac electrophysiology for decades, and has provided remarkable insights into many physiological mechanisms. More recently these quantitative cardiac models have begun to transition into safety-critical c...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Oxford college:
University College
Role:
Author
ORCID:
0000-0003-0904-554X

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Role:
Supervisor
Institution:
University of Nottingham
Role:
Supervisor
ORCID:
0000-0002-4569-4312
Institution:
University of Notthingham
Role:
Supervisor
ORCID:
0000-0003-4062-3061
Institution:
Roche
Role:
Supervisor
Institution:
Roche
Role:
Supervisor
More from this funder
Funding agency for:
Lei, CL
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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