Dr. David Klinke, West Virginia University, to Discuss Multiscale Modeling, Inference, and Hypothesis Testing in Rosa's Impact Webinar Series

March 05,2013

Dr. Klinke will present the Webinar œIn silico model-based inference: a contemporary approach for hypothesis testing in systems on March 13, 2013.

Dr. David Klinke, West Virginia University, to Discuss Multiscale Modeling, Inference, and Hypothesis Testing in Rosa's Impact Webinar Series

Rosa & Co. LLC today announced that Dr. David J. Klinke II, Associate Professor in Chemical Engineering at West Virginia University, will present a webinar œIn silico model-based inference: a contemporary approach for hypothesis testing in systems on Wednesday, March 13, 2013 at 1:00 - 2:00 pm EST as part of Rosa's ongoing monthly public webinar series. The purpose of the series, œImpact of Modeling & Simulation in Drug Development, is to foster the use of Modeling and Simulation (M&S) activities in biotechnology, pharmaceutics, and other life science industries. This series is geared to illustrate current applications and advantages of using M&S in product discovery, development, and marketing programs.

According to Dr. Klinke, œQuantitative and systems pharmacology is an emerging field that integrates a systems perspective with advances in quantitative biology, mathematical modeling, and simulation to improve human health using therapies. Conventionally, mathematical modeling provides a quantitative framework for integrating fragmented knowledge of a system and for simulating the dynamic response of the system to environmental changes. However, one of the major challenges in drug discovery and development is determining whether our understanding of how a therapeutic acts across multiple time and length scales is consistent with observed biological response, which is an inductive inference problem. Despite advances in computational power, conventional methods for inference remain largely unchanged since Fisher, Neyman and Pearson developed the ideas in the early-1900's. In this talk, I will summarize conventional methods for model-based inference and suggest a simulation-based alternative. This simulation-based alternative accounts for the specific data at hand and the uncertainty associated with the model parameters.

Register for this free webinar at http://www.rosaandco.com/webinar. After registering, a confirmation email will be sent with directions for joining the webinar. More information about the webinar series, an archive of past webinars, and a list of future webinar speakers may be found at http://www.rosaandco.com/webinar.

About Rosa

Rosa informs our customer's most critical decisions “ from preclinical through clinical development “ with the creation and use of mathematical models that simulate disease physiology, drug action, patient variability, and trial outcomes. To address the full spectrum of related issues, Rosa offers two customized approaches: classic pharmacokinetic/ pharmacodynamic (PK/PD) models and Rosa's innovative PhysioPD, models. With these approaches, Rosa's clients collaborate in model creation and testing, retain the final model, and acquire the ability to use it and understand its implications for their drug development programs. Rosa's staff have unparalleled professional experience in using drug-disease modeling and simulation (M&S) to accelerate drug development and have completed hundreds of engagements with dozens of clients in multiple therapeutic areas. The Rosa team is unique in their breadth and depth of disease area experience, which includes metabolic and cardiovascular diseases, oncology, gastro-intestinal disease, inflammatory diseases, immune dysfunction (including rheumatoid arthritis), pain, skin conditions, respiratory disorders, and antibacterials/antivirals.

More information can be found online at http://www.rosaandco.com

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Rosa & Co LLC

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Rebecca Baillie

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