Prediction of the performance of human liver cell bioreactors by donor organ data

  • Authors:

  • Wolfgang Schmidt-Heck;Katrin Zeilinger;Gesine Pless;Joerg C. Gerlach;Michael Pfaff;Reinhard Guthke

  • Affiliations:

  • Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany;Division of Experimental Surgery, Charité Campus Virchow, University Medicine Berlin, Berlin, Germany;Division of Experimental Surgery, Charité Campus Virchow, University Medicine Berlin, Berlin, Germany;Division of Experimental Surgery, Charité Campus Virchow, University Medicine Berlin, Berlin, Germany;BioControl Jena GmbH, Jena, Germany;Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany

  • Venue:
  • ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Human liver cell bioreactors are used in extracorporeal liver support therapy. To optimize bioreactor operation with respect to clinical application an early prediction of the long-term bioreactor culture performance is of interest. Data from 70 liver cell bioreactor runs labeled by low (n=18), medium (n=34) and high (n=18) performance were analyzed by statistical and machine learning methods. 25 variables characterizing donor organ properties, organ preservation, cell isolation and cell inoculation prior to bioreactor operation were analyzed with respect to their importance to bioreactor performance prediction. Results obtained were compared and assessed with respect to their robustness. The inoculated volume of liver cells was found to be the most relevant variable allowing the prediction of low versus medium/high bioreactor performance with an accuracy of 84 %.