MARIANNA LAVIOLA Marianna.Laviola@nottingham.ac.uk
Assistant Professor
Mathematical and Computational Modelling in Critical Illness
Laviola, Marianna; Bates, Declan G.; Hardman, Jonathan G.
Authors
Declan G. Bates
JONATHAN HARDMAN J.HARDMAN@NOTTINGHAM.AC.UK
Professor of Anaesthesia
Abstract
Mathematical and computational modelling are assuming a prominent role in investigating the complex pathophysiological states and therapeutic strategies in critical illness. This editorial 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. The future direction and application of these high-fidelity and highly integrated models will be to facilitate the development of bedside patient-clones to guide the clinical management of critically ill patients.
Citation
Laviola, M., Bates, D. G., & Hardman, J. G. (2019). Mathematical and Computational Modelling in Critical Illness. European Respiratory & Pulmonary Diseases, 5(1),
Journal Article Type | Editorial |
---|---|
Acceptance Date | Sep 9, 2019 |
Online Publication Date | Sep 30, 2019 |
Publication Date | Sep 30, 2019 |
Deposit Date | Oct 2, 2019 |
Publicly Available Date | Oct 2, 2019 |
Journal | European Respiratory & Pulmonary Diseases |
Print ISSN | 2058-4881 |
Electronic ISSN | 2058-489X |
Publisher | Touch Medical Media |
Peer Reviewed | Not Peer Reviewed |
Volume | 5 |
Issue | 1 |
Public URL | https://nottingham-repository.worktribe.com/output/2736129 |
Publisher URL | https://www.touchrespiratory.com/mathematical-modelling-in-critical-illness/ |
Contract Date | Oct 2, 2019 |
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Mathematical and Computational Modelling
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