Towards patient personalization of an Acute Lymphoblastic Leukemia Model during the oral administration of prednisone in children: Initiating the ALL Oncosimulator

Author

Ouzounoglou, E.N. ; Dionysiou, D.D. ; Stanulla, M. ; Stamatakos, Georgios S.

Author_Institution

Inst. of Commun. & Comput. Syst., Nat. Tech. Univ. of Athens, Zografos, Greece

fYear

2012

fDate

22-23 Oct. 2012

Firstpage

1

Lastpage

4

Abstract

In the present study, methods aiming at supporting the personalization of an Acute Lymphoblastic Leukemia (ALL) Model (ALL Oncosimulator), already in development by the In Silico Oncology Group, National Technical University of Athens, are provided. Specifically, a population pharmacokinetic model for orally administered prednisone in children with ALL is developed, and the ability of classification algorithms to predict the prednisone response using gene expression data is studied.

Keywords

classification; diseases; paediatrics; physiological models; tumours; ALL Oncosimulator; Athens; National Technical University; acute lymphoblastic leukemia model; children; classification algorithms; gene expression data; in silico oncology group; oral administration; patient personalization; population pharmacokinetic model; prednisone response; Classification algorithms; Data models; Drugs; Oncology; Pediatrics; Sociology; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop (IARWISOCI), 2012 5th International Advanced Research Workshop on

Conference_Location

Athens

Print_ISBN

978-1-4673-5024-2

Type

conf

Filename

6397187