Titlebook: New Approaches to Drug Discovery; Ulrich Nielsch,Ulrike Fuhrmann,Stefan Jaroch Book 2016 Springer International Publishing Switzerland 201

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Translational In Vivo Models for Cardiovascular Diseases,neity of cardiac diseases plus the influence of genetic and environmental factors limit to mirror a particular disease with a single experimental model..Thus, drug development in the field of cardiology is not only very challenging but also inspiring; therefore animal models should be selected that

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Pharmacokinetics in Drug Discovery: An Exposure-Centred Approach to Optimising and Predicting Drug by capturing target exposure or surrogates thereof and cellular mode-of-action readouts in vivo. Once robust PK/PD relationship in animal PD models has been constructed, it is translated to anticipate the pharmacologically active plasma concentrations in patients and the human therapeutic dose and d

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Impact of Biomarkers on Personalized Medicine,r low. In the next following chapters, we will explain the various classifications of biomarkers, how they are applied, measured, and used in personalized medicine specifically focusing on how they are used in de-risking the 10 plus years drug development process and lastly how they are validated an

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Modeling and Simulation of In Vivo Drug Effects,tigation of the causality of drug responses is a major risk for translational assessments and the prediction of drug responses in different species or other populations. Mechanism-based modeling and simulation (M&S) offers a means to investigate complex physiological and pharmacological processes an

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C. Ottmannr for which the expected loss (risk) Eown(Oj, 0), j = 1 or 2, is smallest is called the better with respect to Wn at point 0 (here EoO is the expectation evalua978-1-4899-0027-2Series ISSN 0172-4568 Series E-ISSN 2197-439X