Creating virtual ARDS patients

Anup Das, Mainul Haque, Marc Chikhani, Wenfei Wang, Jonathan G. Hardman, Declan G. Bates

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this data, the parameters of the integrated model were identified using an optimization-based methodology in multiple stages. Computational simulations confirm that the resulting model outputs accurately reproduce the available clinical data. Our results open up the possibility of creating in silico a biobank of virtual ARDS patients that could be used to evaluate current, and investigate novel, therapeutic strategies.
Original languageEnglish
Title of host publication38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEMBC 2016
PublisherIEEE
Pages2729-2732
ISBN (Electronic)978-1-4577-0220-4
ISBN (Print)978-1-4577-0219-8
DOIs
Publication statusPublished - 18 Oct 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States
Duration: 16 Aug 201620 Aug 2016

Publication series

NameIEEE EMBC Proceedings Series
PublisherIEEE
ISSN (Print)1557-170X
ISSN (Electronic)1558-4615

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2016
Country/TerritoryUnited States
CityOrlando
Period16/08/1620/08/16

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