Computational approaches for translational clinical research in disease progression

Mary F. McGuire, Madurai Sriram Iyengar, David W Mercer

Research output: Contribution to journalReview article

5 Citations (Scopus)

Abstract

Today, there is an ever-increasing amount of biological and clinical data available that could be used to enhance a systems-based understanding of disease progression through innovative computational analysis. In this article, we review a selection of published research regarding computational methods, primarily from systems biology, which support translational research from the molecular level to the bedside, with a focus on applications in trauma and critical care. Trauma is the leading cause of mortality in Americans younger than 45 years, and its rapid progression offers both opportunities and challenges for computational analysis of trends in molecular patterns associated with outcomes and therapeutic interventions. This review presents methods and domain-specific examples that may inspire the development of new algorithms and computational methods that use both molecular and clinical data for diagnosis, prognosis, and therapy in disease progression.

Original languageEnglish (US)
Pages (from-to)893-903
Number of pages11
JournalJournal of Investigative Medicine
Volume59
Issue number6
DOIs
StatePublished - Aug 2011

Fingerprint

Translational Medical Research
Computational methods
Disease Progression
Systems Biology
Wounds and Injuries
Critical Care
Mortality
Therapeutics
Research

Keywords

  • Biomedical informatics
  • Computational methods
  • Systems biology
  • Trauma

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Computational approaches for translational clinical research in disease progression. / McGuire, Mary F.; Iyengar, Madurai Sriram; Mercer, David W.

In: Journal of Investigative Medicine, Vol. 59, No. 6, 08.2011, p. 893-903.

Research output: Contribution to journalReview article

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