Computational modelling in critical illness online (Faculty of Medicine and Health Sciences only)
Duration 2 hours
Training Points 1.0
Team Researcher Academy

This course is delivered by the Researcher Academy

Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.

Target Audience: Postgraduate Research Students and Research Staff in Faculty of M&HS and NIHR Nottingham Biomedical Research Centre students.

The course may also be relevant to researchers in other Faculties who are undertaking health-related research specifically related to cardio and pulmonary diseases. This course is part of the M&HS Faculty Training Programme and N-trans training programme, which are convened by Researcher Academy.

Process: Lecture style with interactive group discussions

Course Description

Computational modelling are assuming a prominent role in investigating the complex pathophysiological states and therapeutic strategies in critical illness.

This short course briefly illustrates the models of the respiratory and cardiovascular systems developed in the last decades, and their advantages and disadvantages with respect to traditional methods of research, i.e. trials in humans and animals. An overview of the computational simulation suite developed by the Anaesthesia and Critical Care group of the School of Medicine is given, with examples of translation into human applications. Finally, the future directions of these high-fidelity and highly integrated models are presented.

Global aim: to illustrate computational modelling in critical illness.

Learning Outcomes

By the end of the session, participants will:

  • understand computational modelling in medical research;
  • acquire knowledge of computational modelling of pulmonary and cardiovascular systems;
  • learn how to validate, match and optimize a computational model;
  • identify some current and past applications of computational modelling in critical illness.



This session may be recorded. If a recording is kept of the session, then please note, that it may be made available to the wider University of Nottingham researcher community.

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