牛津大学心肌病博士

Cardiomyopathy under the lens of computer models

Host: University of Oxford (UOXF)

Objectives: To better understand and characterise one of the underlying causes of heart failure and arrhythmias, the disease of the cardiac cells (cardiomyopathy). This project will analyse how much structural and electrical remodelling affects the performance of the heart using anatomically detailed simulations. Specifically, it will use a combination of personalised models and machine learning techniques to study the correlation of this performance with disease geno- and phenotypes for hypertrophic and dilated cardiomyopathy. Access to a detailed phenotype will be enabled through the collaboration with F1 (anatomical) F4 (mechanical) and F3 (electrophysiological).

Planned secondment(s): (fellow hosted in an academic institution)

• Industrial: IBM (P6). For 2M in Y2, to learn about complementary modelling strategies using HPC.

• Clinical: co-supervision and interactions within cardiologists at the John Radcliffe Hospital (JRH, P11).