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 language | English (US) |
|---|---|
| Pages (from-to) | 893-903 |
| Number of pages | 11 |
| Journal | Journal of Investigative Medicine |
| Volume | 59 |
| Issue number | 6 |
| DOIs | |
| State | Published - Aug 2011 |
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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 journal › Review article
}
TY - JOUR
T1 - Computational approaches for translational clinical research in disease progression
AU - McGuire, Mary F.
AU - Iyengar, Madurai Sriram
AU - Mercer, David W
PY - 2011/8
Y1 - 2011/8
N2 - 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.
AB - 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.
KW - Biomedical informatics
KW - Computational methods
KW - Systems biology
KW - Trauma
UR - http://www.scopus.com/inward/record.url?scp=84856411490&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856411490&partnerID=8YFLogxK
U2 - 10.2310/JIM.0b013e318224d8cc
DO - 10.2310/JIM.0b013e318224d8cc
M3 - Review article
C2 - 21712727
AN - SCOPUS:84856411490
VL - 59
SP - 893
EP - 903
JO - Journal of Investigative Medicine
JF - Journal of Investigative Medicine
SN - 1081-5589
IS - 6
ER -