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Inicio  /  Computation  /  Vol: 5 Par: 4 (2017)  /  Artículo
ARTÍCULO
TITULO

Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology

David Sadowsky    
Andrew Abboud    
Anthony Cyr    
Lena Vodovotz    
Paulo Fontes    
Ruben Zamora and Yoram Vodovotz    

Resumen

Extracorporeal organ perfusion, in which organs are preserved in an isolated, ex vivo environment over an extended time-span, is a concept that has led to the development of numerous alternative preservation protocols designed to better maintain organ viability prior to transplantation. These protocols offer researchers a novel opportunity to obtain extensive sampling of isolated organs, free from systemic influences. Data-driven computational modeling is a primary means of integrating the extensive and multivariate data obtained in this fashion. In this review, we focus on the application of dynamic data-driven computational modeling to liver pathophysiology and transplantation based on data obtained from ex vivo organ perfusion.

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