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Cardiac modelling allows us to understand how healthy and diseased hearts work.


   Department of Computing Science and Mathematics

  Dr Anya Kirpichnikova  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Heart failure is the inability of the heart to efficiently deliver oxygen around the body. Heart failure affects more than 26 million people worldwide. It has multiple causes, including hypertrophic heart, enlarged compartments, etc, when the heart can’t adequately pump and deliver blood and oxygen around the body. Patients are more susceptible to arrhythmias, and drug-induced arrhythmias.

Cardiovascular drugs aim to help a failing heart. The main reasons the drug fails are efficacy and safety. Safety is the likelihood of adverse effects; hence drug development is closely regulated. Efficacy is the ability of the drug to produce desired effects. So, ideally, the drug should engage with the target without any harm caused.

Cardiac modelling allows us to understand pathophysiology mechanisms in healthy and diseased hearts.

The proposed PhD project on cardiac modelling will involve development and analysis of healthy and diseased ventricular cell models. The candidate will learn advanced model development and analysis techniques including virtual population methodology, sensitivity analysis to identify the key cellular properties affecting disease behaviour.


Funding Notes

This is a self-funded PhD, and will take you a minimum of three years to complete. As a PhD student, you will be eligible to carry out paid work such as tutoring at the University and we encourage students to engage with the pedagogical side of university life.

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