Computational modelling in critical illness
Duration 0.5 days
Training Units 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.

Booking Conditions

Latecomer policy

Researchers should plan to arrive prior to the advertised course start time. Except for exceptional reasons, there will be no admittance to a Researcher Academy or Faculty Training Programme (FTP) course 15 minutes after the advertised course start time.

Importance of booking commitment

When booking on to a Researcher Academy short course you are entering into a commitment to attend. If you find that you are no longer available to attend you MUST cancel your place (on the system if more than three days before the course) or if at short notice by emailing will ensure that your place can be offered to another researcher on the waiting list. Failure to cancel a place results in other researchers missing out on places through the waiting list process.

It is unacceptable for researchers to just not attend when booked onto a course. Researcher Academy maintains records of those who repeatedly do not attend courses they have booked. This may affect future eligibility to book onto further Researcher Academy courses and will affect considerations for Researcher Academy funded opportunities.

If there are no course dates listed below, then all of the instances have already taken place for this current academic year. Course dates for 2019/20 will be published in early October 2019 with courses running from late November 2019 to June 2020

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