Computational approaches for translational clinical research in disease progression

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

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations


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
Issue number6
StatePublished - Aug 2011


  • Biomedical informatics
  • Computational methods
  • Systems biology
  • Trauma

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology


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