| Computational modelling of lung injury: is there potential for benefit? | |
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MedLine Citation:
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PMID: 21149367 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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State-of-the-art medical care of the victims of current conflicts is generating large quantities of quality clinical data as a by-product. Observational research based on these data is beginning to have a profound influence on the clinical management of both military and civilian trauma patients. Computational modelling based on these datasets may offer the ability to investigate clinical treatment strategies that are practically, ethically or scientifically impossible to investigate on the front line. This article reviews the potential of this novel technology to aid development of treatment for blast lung and other unresolved medical scenarios. |
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Authors:
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Daniel J R Harvey; Jonathan G Hardman |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Philosophical transactions of the Royal Society of London. Series B, Biological sciences Volume: 366 ISSN: 1471-2970 ISO Abbreviation: Philos. Trans. R. Soc. Lond., B, Biol. Sci. Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2010-12-14 Completed Date: 2011-03-29 Revised Date: 2012-01-27 |
Medline Journal Info:
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Nlm Unique ID: 7503623 Medline TA: Philos Trans R Soc Lond B Biol Sci Country: England |
Other Details:
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Languages: eng Pagination: 300-5 Citation Subset: IM |
Affiliation:
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Division of Anaesthesia and Intensive Care, University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham, UK. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Blast Injuries
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physiopathology* Computational Biology / methods* Computer Simulation Humans Models, Biological* Respiratory Distress Syndrome, Adult / physiopathology* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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