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 %.
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Gerlach, J.C., Botsch, M., Kardassis, D., Lemmens, P., Schon, M., Janke, J., Puhl, G., Unger, J., Kraemer, M., Busse, B., Bohmer, C., Belal, R., Ingenlath, M., Kosan, M., Kosan, B., Sultmann, J., Patzold, A., Tietze, S., Rossaint, R., Mueller, C., Monch, E., Sauer, I.M., Neuhaus, P.: Experimental evaluation of a cell module for hybrid liver support. Int. J. Artif. Organs 24, 793–798 (2001)
Zeilinger, K., Holland, G., Sauer, I.M., Efimova, E., Kardassis, D., Obermayer, N., Liu, M., Neuhaus, P., Gerlach, J.C.: Time course of primary liver cell reorganization in threedimensional high-density bioreactors for extracorporeal liver support: an immunohistochemical and ultrastructural study. Tissue Eng. 10, 1113–1124 (2004)
Gerlach, J.C., Mutig, K., Sauer, I.M., Schrade, P., Efimova, E., Mieder, T., Naumann, G., Grunwald, A., Pless, G., Mas, A., Bachmann, S., Neuhaus, P., Zeilinger, K.: Use of primary human liver cells originating from discarded grafts in a bioreactor for liver support therapy and the prospects of culturing adult liver stem cells in bioreactors: a morphologic study. Transplantation 76, 781–786 (2003)
Gerlach, J.C., Brombacher, J., Kloeppel, K., Smith, M., Schnoy, N., Neuhaus, P.: Comparison of four methods for mass hepatocyte isolation from pig and human livers. Transplantation 57, 1318–1322 (1994)
Pfaff, M., Toepfer, S., Woetzel, D., Driesch, D., Zeilinger, K., Pless, G., Neuhaus, P., Gerlach, J.C., Schmidt-Heck, W., Guthke, R.: Fuzzy cluster and rule based analysis of the system dynamics of a bioartificial 3D human liver cell bioreactor for liver support therapy. In: Dounias, G., Magoulas, G., Linkens, D. (eds.) Intelligent Technologies in Bioinformatics and Medicine. Special Session. Proceedings of the EUNITE 2004 Symposium, p. 57. A Publication of the University of the Aegean (2004)
Schmidt-Heck, W., Zeilinger, K., Pfaff, M., Toepfer, S., Driesch, D., Pless, G., Neuhaus, P., Gerlach, J.C., Guthke, R.: Network analysis of the kinetics of amino acid metabolism in a liver cell bioreactor. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds.) ISBMDA 2004. LNCS, vol. 3337, pp. 427–438. Springer, Heidelberg (2004)
Breiman, L.: Random forests. Technical Report, Stat. Dept. UCB (2001)
Breiman, L.: Random forests. Mach. Learn 45, 5–32 (2001)
Vapnik, V.: Statistical Learning Theory. Wiley, New York (1998)
Guthke, R., Schmidt-Heck, W., Pfaff, M.: Knowledge acquisition and knowledge based control in bio-process engineering. J. Biotechnol. 65, 37–46 (1998)
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Schmidt-Heck, W., Zeilinger, K., Pless, G., Gerlach, J.C., Pfaff, M., Guthke, R. (2005). Prediction of the Performance of Human Liver Cell Bioreactors by Donor Organ Data. In: Oliveira, J.L., Maojo, V., Martín-Sánchez, F., Pereira, A.S. (eds) Biological and Medical Data Analysis. ISBMDA 2005. Lecture Notes in Computer Science(), vol 3745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573067_12
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DOI: https://doi.org/10.1007/11573067_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29674-4
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