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

Seminar

Speaker: Charlotte Kloft, Institut für Pharmazie, Freie Universität Berlin, Germany

Title: Pharmacometrics: Analysing and understanding variability and uncertainty in clinical data * SFB 1294 colloquium

Time: Fri, Jan 12, 2018, postponed

Place: bldg 28, room 0.108

Abstract:
Please note that there is an introductory seminar given beforehand for all junior scientist (PhD's and Postdoc's) from 9:00-9:45 in the lecture hall.

For new medicines to be approved for therapeutic use, three internationally accepted criteria have to be met: efficacy, safety, quality. Yet, in drug development and drug therapy, the complex interaction of drug and patient with the disease is rarely fully understood. As a result, patients may not (fully) benefit or suffer from (serious) side effects often due to the lack of recognising biological variability and experimental uncertainty. Pharmacometrics as an interdisciplinary science integrates data and knowledge from various sources, such as clinical trials, in vitro or nonclinical investigations, reported data, routine data as well as patient characteristics in a coherent framework with the aim to generate new knowledge in the underlying mechanisms and processes of the drug-patient-disease interaction by analysing e.g. drug concentration, drug effect and disease progression/cure data and developing so called pharmacometric models. These models considering variability and uncertainty can then be used to make predictions for new scenarios, such as different patient populations that have not (yet) been studied in trials: These simulations allow to study and to identify e.g. whether effective and safe concentrations are being reached or the extent of desired/undesired effects and can be performed both on the individual patient and the patient population level. Future advancements in pharmacometric modelling and simulation (as seen in initiatives such as ‘Modelinformed drug discovery and development’ (MID3) and ‘Model-informed patient care’ (MIPC)) will include even more and diverse data to better capture the relevant physiological, pathophysiological pathway and network features of the organism to ultimately contribute to more rational therapeutic drug decision making in patients.

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Past NLD Seminars (1994-2007) & (2008 ...)

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,
Universität Potsdam, Campus Golm Karl-Liebknecht-Str. 24, 14476 Potsdam, building 28, room 2.107
Phone: (+49-331) 977-1658, Fax : (+49-331) 977-1045

Email: Udo.Schwarz AT uni-potsdam.de

DFG SFB 1294

DFG Sonderforschungsbereich 1294 Data assimilation

DFG SPP 1488

DFG Schwerpunktprogramm 1488 Planetmag


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