Computational Modelling

The complexity and the multifaceted nature of problems in clinical engineering have resulted in the emergence of computational biophysical modelling as a tool of great importance in addressing such challenges. Especially for situations when transport phenomena are important – flow of blood in vasculature, transport of cerebrospinal fluid in the brain and the spine, cellular motility processes, or modeling of disease progression – almost invariably a wide range of scales and a variety of physical processes are in an intricate interplay. Responding to unmet healthcare needs can be greatly assisted by employing appropriate simulation techniques and this capability has been greatly enhanced with the merging of imaging with modelling, which allows for computations to be applied to regions of interest that are anatomically derived and patient-specific. This type of simulation-enhanced personalised medicine addresses a series of challenges in a very promising manner. Clinical computational modelling of the type described here is rapidly becoming a commodity of great value in all the relevant medical devices industries as well as outright in the hospital setting. There is great need to train young professionals on this interface of diagnostic and interventional medicine on one hand and scientific computing on the other.

Theme Leader: Prof. Yiannis Ventikos

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