The ability to measure the heart, its shape, its structure and its function across multiple spatial and temporal scales continues to grow. Interpreting this data remains challenging. Computational biophysical models of the heart allow us to quantitatively link and interpret these large disparate data sets within the context of known cardiac physiology and invariable physical constraints. Within these models, we can infer unobservable states, propose and test new hypothesis and predict how systems will respond to challenges increasing our ability to interrogate biological systems. We are increasingly applying this approach to modelling human hearts to investigate clinical questions. In this presentation, I will give an overview on our modelling work simulating anthracycline-induced heart failure, how we are using models of individual patients to study cardiac resynchronisation therapy and how we using simulations to characterise the anatomy and pathophysiology of atrial fibrillation patients. Finally, I will present some of our preliminary results on bringing simulating the four-chamber heart for beginning to simulate the interactions between atrial and ventricular function.
Bio:
Dr. Steven Niederer completed his undergraduate degree in Engineering Science at the University of Auckland and received his DPhil in computer science from the University of Oxford in 2008. Dr Niederer was a UK Engineering and Physical Sciences Research Council (EPSRC) Life Sciences Interface Early Career Fellow at Oxford prior to moving to Kings' College London where he is currently a senior lecturer in the Division of Imaging Sciences and Biomedical Engineering.
Posted by: Nathan Galli