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Titlebook: Development of Antibody-Based Therapeutics; Translational Consid Mohammad A. Tabrizi,Gadi G. Bornstein,Scott L. Kla Book 2018Latest edition

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Application of PK-PD Modeling and Simulation Approaches for Immuno-Oncology Drugs, clinical response to such therapies. Hence, it is evident that application of quantitative approaches can highly enhance knowledge regarding the underlying variables important for designing effective dosing strategies in I-O therapies. This chapter focuses on the application and potential impact of PK-PD modeling on I-O therapy.
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https://doi.org/10.1007/978-3-658-27904-2n and selection of antibody-based therapeutics. Clarity on patient-related variables, manufacturing considerations, underlying biology and pathophysiology, as well as integration of key translational variables can accelerate drug development processes, ultimately benefiting patients in need of such
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n molecular interactions are responsible for biological function(s) at a cellular level. The post-genomic era has witnessed the emergence of improved and state-of-the-art technologies to characterize structure-function relationships. The emergence of these technologies has been further facilitated b
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odalities may offer additional advantages with respect to target engagement that may not be feasible by traditional combination therapies with single agents. Therefore, design of bispecific constructs requires particular attention to target and drug selection for successful application of this class
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effect of most drugs arises from their interactions with various macromolecules within the organism, resulting in alterations of functional and biochemical pathways, and the concentration of drug in the proximity of the biological receptor (biophase) determines the magnitude of the observed response
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Teiler preclinical and clinical development. Appropriate analysis of tumor growth data at the preclinical stage will aid in effective interpretation of the preclinical studies. In general, tumor growth models have a degree of intrinsic variability, so studies must be powered with an adequate number of rep
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Matrizenderation during the development of antibody-based therapeutics is selection and evaluation of relevant biomarkers during early preclinical stages. Effective application of biomarkers not only lessens the time and cost associated with the drug development process, but also fosters implementation of r
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