Computational Biology: Modeling Chronic Renal Allograft Injury.

Abstract:

:New approaches are needed to develop more effective interventions to prevent long-term rejection of organ allografts. Computational biology provides a powerful tool to assess the large amount of complex data that is generated in longitudinal studies in this area. This manuscript outlines how our two groups are using mathematical modeling to analyze predictors of graft loss using both clinical and experimental data and how we plan to expand this approach to investigate specific mechanisms of chronic renal allograft injury.

journal_name

Front Immunol

journal_title

Frontiers in immunology

authors

Stegall MD,Borrows R

doi

10.3389/fimmu.2015.00385

subject

Has Abstract

pub_date

2015-08-03 00:00:00

pages

385

issn

1664-3224

journal_volume

6

pub_type

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