Title :
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
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;
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
