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Updated: Jun 17, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
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在药理动力学中制定和验证扩展的Sigmoid Emax模型

Jong Hyuk Byun1

  • 1Department of Mathematics, College of Natural Sciences and Institute of Mathematical Sciences, Pusan National University, Busan, 46241, Republic of Korea. maticax@pusan.ac.kr.

Pharmaceutical research
|August 14, 2024
PubMed
概括

扩展的Emax (eEmax) 模型通过从一个数据集生成多个曲线来改进药物度-反应分析,提高数据的准确性和利用率. 这种灵活的方法减少了药理动力学-药理动力学 (PKPD) 建模中的验证错误.

关键词:
埃马克斯模型模型药物度反应曲线药物效应 药物效应是一种药物效应.数学建模的数学建模药理动力学 - 药理动力学 (PKPD)

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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