基于不确定的数学模型的可变剂量重复药物管理的强有力的控制
Zuzana Vitková1, Martin Dodek1, Eva Miklovičová1
1Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia.
Bioengineering (Basel, Switzerland)
|August 26, 2023
概括
这项研究引入了一种新的闭环药物管理策略,使用控制理论. 这种新方法可稳定地保持所需的药物度,优于传统的开放循环方法.
科学领域:
- 药理动力学和控制理论
- 生物医学工程 生物医学工程
- 计算药理学计算药理学
背景情况:
- 传统的药物剂量策略通常依赖于开放循环方法,由于药理动力学参数的不确定性,这些方法不足.
- 试错方法可以导致不必要的药物度波动.
- 保守设计所需的准确的药理动力学参数知识往往是不现实的.
研究的目的:
- 使用系统和控制理论范式设计一个强大的,重复的药物管理策略.
- 根据实时血液样本分析开发计算药物剂量的算法.
- 探索这种方法的应用,以稳定不稳定的生物模型,如瘤生长.
主要方法:
- 开发用于药物剂量的离散时间控制算法.
- 利用血液样本数据进行自适应剂量计算.
- 闭环控制原理的应用,包括集成控制器和状态反.
主要成果:
- 拟议的闭环控制算法成功地达到并稳定地维持了目标药物度.
- 控制策略表现出优于传统的开环方法的优势,即使具有显著的参数不确定性.
- 模拟实验证实了算法的稳定性,能够应对很大的参数不确定性.
结论:
- 开发的闭环控制策略为重复药物管理提供了强大而有效的方法.
- 这种方法克服了传统方法的局限性,因为它考虑了药理动力学不确定性.
- 该方法在药物输送之外的应用方面表现有前途,包括生物系统的稳定.
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