Data-driven modeling of liver injury, inflammation, and fibrosis

Ruben Zamora, Yoram Vodovotz*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The liver is an organ key to myriad metabolic and immune/inflammatory function. Thus, liver diseases have a tremendous impact on quality of life and can be lethal. Liver failure is a prototype of complex disease that has defied therapeutic modulation due to complex interactions among multiple cell types present in the liver, inflammation that occurs as a consequence of those interactions, and the systemic spillover of inflammatory mediators that can drive a process of multiple organ dysfunction. This chapter describes multiple computational modeling approaches aimed at gaining both basic and clinically actionable knowledge in the context of liver failure. While this chapter is focused on the liver, the methods and approaches are likely to be informative and useful to investigators in other fields as well.

Original languageEnglish
Title of host publicationComplex Systems and Computational Biology Approaches to Acute Inflammation
Subtitle of host publicationA Framework for Model-based Precision Medicine
PublisherSpringer International Publishing
Pages263-271
Number of pages9
ISBN (Electronic)9783030565107
ISBN (Print)9783030565091
DOIs
StatePublished - 4 Nov 2020
Externally publishedYes

Keywords

  • Dynamic network inference
  • Hepatic stellate cell
  • Hepatocyte
  • Inflammation
  • Kupffer cell
  • Liver failure
  • Transplantation

Fingerprint

Dive into the research topics of 'Data-driven modeling of liver injury, inflammation, and fibrosis'. Together they form a unique fingerprint.

Cite this