Open AccessTranslational Potential of Systems‐Based Models of Inflammation
Author(s) -
Foteinou P.T.,
Calvano S.E.,
Lowry S.F.,
Androulakis I.P.
Publication year - 2009
Publication title -
clinical and translational science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.303
H-Index - 44
eISSN - 1752-8062
pISSN - 1752-8054
DOI - 10.1111/j.1752-8062.2008.00051.x
Subject(s) - underpinning , translational research , context (archaeology) , computer science , systems biology , mechanism (biology) , data science , translation (biology) , management science , risk analysis (engineering) , computational biology , cognitive science , medicine , biology , psychology , epistemology , pathology , engineering , biochemistry , paleontology , philosophy , civil engineering , messenger rna , gene
Abstract A critical goal of translational research is to convert basic science to clinically relevant actions related to disease prevention, diagnosis, and eventually enable physicians to identify and evaluate treatment strategies. Integrated initiatives are identified as valuable in uncovering the mechanism underpinning the progression of human diseases. Tremendous opportunities have emerged in the context of systems biology that aims at the deconvolution of complex phenomena to their constituent elements and the quantification of the dynamic nteractions between these components through the development of appropriate computational and mathematical models. In this review, we discuss the potential role systems‐based translation research can have in the quest to better understand and modulate the nflammatory response.