A patient specific statistical-systems approach to mechanistically stratify heat failure with preserved ejection fraction patients based on the cause of increased ventricular stiffness

Principal investigator(s)Co-InvestigatorPhD student or Research Fellow(s)Project title

Dr Steve Niederer (KCL) and Dr Sander Land (KCL)

Professor Peter Challenor (UoE) Lauric Ferrat (UoE) A patient specific statistical-systems approach to mechanistically stratify heat failure with preserved ejection fraction patients based on the cause of increased ventricular stiffness

 

Lay summary:

Heart failure with preserved ejection fraction is a prevalent and progressive disease affecting around 450,000 patients in the UK. To date, not a single drug has been discovered to improve the life expectancy of people touched by this illness. To overcome this situation, we have created a team of experts from different backgrounds, Dr Steve Niederer and Dr Sander Land, experts in cardiac modelling from King’s College London, and Professor Peter Challenor and Lauric Ferrat, experts in statistics from the University of Exeter.

This seed corn project involves bringing together two strands of mathematics; cardiac modelling and uncertainty quantification in order to better understand the heart. This combination of skills and mathematics will lead to a deeper understanding of the causes of the illness and could ultimately lead to better treatments for diastolic heart failure.



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