Seminars of the Focus Area Complex Systems

Prof. Dr. C. Beta, Prof. Dr. K. Dethloff, Prof. Dr. R. Engbert, Prof. Dr. M. Holschneider, Prof. Dr. W. Huisinga, Prof. Dr. Ralf Metzler, Prof. Dr. A. Pikovsky, Prof. Dr. S. Reich, Prof. Dr. M. Rosenblum, Prof. Dr. G. Rüdiger, Prof. Dr. T. Scheffer, Prof. Dr. F. Scherbaum, Prof. Dr. J. Selbig, Prof. Dr. F. Spahn


Speaker: Alexander Solms, Computational Physiology Group, University of Potsdam

Title: Integrating prior knowledge into the statistical analysis of clinical data to study inter- and intra-individual variability in pharmacokinetics * Bioinformatics Affinity Seminar

Time: Wed, Jan 9, 2013, 10am

Place: MPI für Molekulare Pflanzenphysiologie, Room 0.21 in The Box

Pharmacokinetics (PK) is the study of absorption, distribution, metabolism and excretion of an admistered drug in the body. To determine those processes the most common approach is to analyse clinical data (empirical approach), e.g. repeated measurements of the plasma concentration over time. Typically, those measurements show a large inter-individual variability between patients. To describe the PK processes and characterize the corresponding variabilities non-linear mixed effects (nlme) models are used. In general those variabilities can be splitted in explained and unexplained parts. Explained variability is the part of variability which can be assigned to patient characteristics (covariates), e.g. age or sex. Unexplained variability is the remaining variability -the difference between total and explained. Those informations are needed to develop a safe and efficient dosing. In contrast to the empirical approach the so-called physiological based PK (PBPK) models are based on anatomical and physiological considerations and the physiochemical and physiological properties of the drug. So far, little to no cross-fertilization between the two modeling approaches exist. Therefore, an approach that allows to integrate prior knowledge from the PBPK model into the analysis of clinical data - in particular to study the inter- and intra-individual variability - is highly desirable. In this talk, we introduce both approaches and show how recently developed model reduction techniques for PBPK models can be used to establish the desired link. The new approach is illustrated on clinical data of levofloxacin.

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Students' seminar: Theoretical Physics, PIK, Modeling & TSA Berlin-Potsdam-Colloquia: PhysGesellschaft Berlin, TU Berlin, Pro Physik, AIP, AEI, MPI-KGF, GFZ, HMI, PIK, AWI, Max Planck Institute for the History of Science, Mathematik, DPG Disputationen, & Vorschau UP

Udo Schwarz, Zentrum für Dynamik komplexer Systeme,
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