title: Computational approaches for translational clinical research in disease progression.
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.
authors.affiliation: School of Biomedical Informatics, University of Texas Health Science Center at Houston, TX 77030, USA. mary.f.mcguire@uth.tmc.edu
authors.forename: Mary F
authors.initials: MF
authors.lastname: McGuire
authors.forename: Madurai Sriram
authors.initials: MS
authors.lastname: Iyengar
authors.forename: David W
authors.initials: DW
authors.lastname: Mercer
mesh_terms: D000328:Adult; D000465:Algorithms; D001499:Bayes Theorem; D035843:Biomedical Research; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D018450:Disease Progression; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D011379:Prognosis; D049490:Systems Biology; D013598:Systems Theory; D057170:Translational Research, Biomedical / Q000379:methods*; D016896:Treatment Outcome; D014481:United States; D014947:Wounds and Injuries