DTP: Computational PhysiologyΒΆ


This is release 2017.02 of the DTP Computational Physiology module documentation. Some previous releases are available at: http://readthedocs.org/projects/dtp-compphys/versions/

Anonymous feedback on any part of this module can be left at: http://goo.gl/forms/0OOhzkwnFo

Welcome to the Computational Physiology module of the Doctoral Training Programme from the MedTech CoRE. In this series of tutorials, you will be exposed to a selection of the methods used by scientists in the MedTech CoRE working in the field of computational physiology - the application of engineering and mathematical sciences to the study of physiology.

This series of tutorials will first guide you through the main steps in a “standard” clinical workflow that takes advantage of computational physiology: image processing, model building, simulation, and visualisation. You will then be led through the development and implementation of a complete clinically focused workflow which will take advantage of the skills you have developed in the earlier modules. In demonstrating each of these steps we make use of examples for various organ systems being investigated under the MedTech CoRE. Each session will begin with a introductory lecture from a scientist working on the example organ system for that session who will present current research relevant to the MedTech CoRE. We hope to make recordings of these lectures available to those following the module remotely.

Following the clinical workflow tutorials we venture into deeper into the world of standards and repositories to explore their importance in enabling the reproducibility and reusability of computational models as used in the clinical workflow tutorials. Latest research methods in the contruction and management of these computational models will be presented and time devoted to playing with these methods in order to emphasise the importance of reuse and reproducibility in the computational physiology domain.

Finally, several mini-projects are offered for students to work through on their own or in groups. These projects will collectively demonstrate the application of all the previous material in real life scientific research scenarios.