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首页> 外文会议>International Symposium on Process Systems Engineering >Parallel design of pharmacodynamic experiments for the identification of antimicrobial-resistant bacterial population models
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Parallel design of pharmacodynamic experiments for the identification of antimicrobial-resistant bacterial population models

机译：药效学实验的平行设计，用于鉴定抗菌药物群体模型

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The use of detailed pharmacokinetic (PK) and pharmacodynamic (PD) models in order to investigate drug resistance and the susceptibility breakthrough by means of in-vivo or in-vitro trials is a widespread practice in the preliminary stages of drug development. However, complex PK-PD models are usually affected by identifiability issues typically related to their specific model structure and to the strong correlation among the model parameters. Model-based design of experiments (MBDoE) techniques can be successfully adopted to design multiple experiments to be executed simultaneously, detecting a proper set of experimental settings improving the identifiability of the model parameters. The preliminary results presented in this paper show that designing experiments in parallel, rather than sequentially, can substantially decrease the time and effort required by the model identification task for a microbial growth model.
机译：使用详细的药代动力学（PK）和药效学（PD）模型以研究耐药性和通过体内或体外试验的敏感性突破是药物发育初步阶段的广泛实践。然而，复杂的PK-PD模型通常受到通常与其特定模型结构相关的可识别性问题以及模型参数之间的强相关性的影响。基于模型的实验设计（MBDOE）技术可以成功地采用来设计多个实验，以便同时执行，检测适当的实验设置，提高了模型参数的可识别性。本文提出的初步结果表明，并行设计实验，而不是顺序地，可以显着降低微生物生长模型的模型识别任务所需的时间和精力。

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