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A preliminary study of modeling and simulation in individualized drug dosage – azathioprine on inflammatory bowel disease
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-3435-4996
Linköping University, Department of Medicine and Care. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0002-2809-7591
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2007 (English)In: SIMS 2006: Proceedings of the 47th Conference on Simulation and Modelling, Helsinki, Finland, Helsinki: Kopio Niini Oy , 2007, 216-220 p.Conference paper, Published paper (Refereed)
Abstract [en]

Individualized drug dosage based on population pharmacokinetic/dynamic models is an important future technology used to reduce or eliminate side effects of certain drugs, e.g. cancer drugs. In this paper we report preliminary results from work-in-progress: a simplified linear model of the metabolism of a cancer treatment drug was estimated from experimental data. The model was then validated against the same data as a test of the adequacy of the model structure. From this investigation it became apparent that the model structure could not be used due to its inability to recreate the dynamic properties of the system.

Place, publisher, year, edition, pages
Helsinki: Kopio Niini Oy , 2007. 216-220 p.
Keyword [en]
azathioprine, inflammatory bowel disease, pharmacokinetic
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-10250ISBN: 9525183300 (print)OAI: oai:DiVA.org:liu-10250DiVA: diva2:16999
Available from: 2007-11-16 Created: 2007-11-16 Last updated: 2014-10-08
In thesis
1. Towards Individualized Drug Dosage - General Methods and Case Studies
Open this publication in new window or tab >>Towards Individualized Drug Dosage - General Methods and Case Studies
2007 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Progress in individualized drug treatment is of increasing importance, promising to avoid much human suffering and reducing medical treatment costs for society. The strategy is to maximize the therapeutic effects and minimize the negative side effects of a drug on individual or group basis. To reach the goal, interactions between the human body and different drugs must be further clarified, for instance by using mathematical models. Whether clinical studies or laboratory experiments are used as primary sources of information, greatly

influences the possibilities of obtaining data. This must be considered both prior and during model development and different strategies must be used. The character of the data may also restrict the level of complexity for the models, thus limiting their usage as tools for individualized treatment.

In this thesis work two case studies have been made, each with the aim to develop a model for a specific human-drug interaction. The first case study concerns treatment of inflammatory bowel disease with thiopurines, whereas the second is about treatment of ovarian cancer with paclitaxel. Although both case studies make use of similar amounts of experimental data, model development depends considerably on prior knowledge about the systems, the character of the data and the choice of modelling tools. All these factors are presented for

each of the case studies along with current results. Further, a system for classifying different but related models is also proposed with the intention that an increased understanding will contribute to advancement in individualized drug dosage.

Place, publisher, year, edition, pages
Institutionen för datavetenskap, 2007. 53 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1332
Keyword
drug dosage, population pharmacokinetics, biochemical modelling, identifiability, parameter estimation
National Category
Bioinformatics (Computational Biology)
Identifiers
urn:nbn:se:liu:diva-10251 (URN)978-91-85895-82-3 (ISBN)
Presentation
2007-12-06, Visionen, Hus B, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Note
Report code: LiU-Tek-Lic-2007:41.Available from: 2007-11-16 Created: 2007-11-16 Last updated: 2014-10-08

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Fransson, MartinFritzson, PeterLindqvist Appell, MalinAlmer, SvenPeterson, Curt

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Fransson, MartinFritzson, PeterLindqvist Appell, MalinAlmer, SvenPeterson, Curt
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PELAB - Programming Environment LaboratoryThe Institute of TechnologyDepartment of Medicine and CareFaculty of Health SciencesGastroenterology and HepatologyDepartment of Endocrinology and Gastroenterology UHLClinical PharmacologyDepartment of Oncology UHL
Bioinformatics (Computational Biology)

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Citation style
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