From joyku at stanford.edu Mon Feb 26 12:58:26 2018 From: joyku at stanford.edu (Joy P. Ku) Date: Mon, 26 Feb 2018 20:58:26 +0000 Subject: [Simbiosnews] Webinars on ensuring model quality and translation in pharmacology and cardiovascular disease Message-ID: Simbios collaborators are hosting several relevant webinars in the next week that may be of interest to you: * How to Ensure Quantitative Systems Pharmacology Model Quality - Introducing the Model Qualification Method * Model Predictive Medical Decision Support for Cardiovascular Diseases Please see below for more details. Best, Joy --- Joy P. Ku, PhD Project Manager, SimTK Director of Communications & Training, NCSRR Director of Communications & Engagement, Mobilize Center Stanford University (w) 650.736.8434, (f) 650.723.7461 Email: joyku at stanford.edu How to Ensure Quantitative Systems Pharmacology Model Quality - Introducing the Model Qualification Method Christina Friedrich, Rosa & Co. Tuesday, March 6, 2018 at 9:00 a.m. Pacific Standard Time Quantitative Systems Pharmacology (QSP) modeling considers drug mechanism of action in the context of biological disease mechanisms to improve understanding of human biology and pharmacology. QSP models differ from pharmacokinetic/pharmacodynamic models in their purpose and data requirements, and there can be significant variability among QSP models in depth and breadth, specific research questions, and available data. Because of these differences, traditional prescriptive model validation approaches are neither appropriate nor sufficient. An alternative approach for ensuring QSP model quality is needed. The Model Qualification Method (MQM) offers a general and customizable framework for ensuring QSP model quality, including consideration of scope and relevance, uncertainty, variability, and comparison to data. This webinar will introduce MQM and present two case studies from Rosa's practice to illustrate the utility of the method. This webinar is organized by the Committee on Credible Practice of Modeling & Simulation in Healthcare (CPMS), an initiative of the Interagency Modeling and Analysis Group and Multiscale Modeling Consortium (http://www.imagwiki.nibib.nih.gov). Model Predictive Medical Decision Support for Cardiovascular Diseases Frans van de Vosse, Eindhoven University of Technology Tuesday, February 27, 2018 at 2:00 p.m. Central European Time Patient specific computational modelling of the cardiovascular system will play an increasing role in diagnostics of cardiovascular disease and planning of surgical intervention and medical treatment. Several main steps towards the clinical applicability of these computational models can be discerned. First, the mathematical model and the applied computational technique must be developed based on physical understanding of the final clinical application. In general the mechanical interaction between blood flow and cardiovascular tissue deformation must be dealt with in a fluid-structure interaction model. Next these models need to be verified with respect to the physical phenomena they are supposed to describe. In many cases in-vitro models that represent a specific site of the cardiovascular system can be used for this purpose. Thirdly, proper constitutive models for both the solid as well as the fluid must be defined and parameters must be derived from either ex-vivo or in-vivo experimental studies. Next, clinical measurement and imaging techniques that are suitable to assess the parameters that define the patient specificity of the model must be developed and evaluated. In a second sequence of steps, the model must be implemented in a clinical work flow and optimized. After this, the predictive value of the computational model must be determined using uncertainty analysis and the model must be validated in clinical studies. In the webinar this sequence of steps will be illustrated taking currently conducted real life clinical studies as a point of departure. This webinar is organized by the Virtual Physiological Human Institute for Integrative Biomedical Research (VPHi). -------------- next part -------------- An HTML attachment was scrubbed... URL: