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Physiologically Based Pharmacokinetic Modeling and Predictive Control: An integrated approach for optimal drug administration

机译:基于生理学的药代动力学建模和预测控制:最佳药物管理的综合方法

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The barriers between systems engineering and medicine are slowly eroding as recently it has become evident that medicine has a lot to gain from systems technology. In particular, the drug administration problem can be cast as a control engineering problem, where the objective is to keep the drug concentration at certain organs in the body close to desired set-points. A number of constraints render the problem rather challenging. For example, hard constraints may be posed on drug concentration, because if it exceeds an upper limit, the effects of the drug are adverse and toxic.In this paper we show that a popular method in control engineering can be used for determining the optimal drug administration. Specifically, the Model Predictive Control (MPC) technology can be adopted for taking optimal decisions regarding regulation of drug concentration in the human body, while posing constraints on both drug concentration and drug infusion rate.
机译:系统工程与医学之间的障碍正在逐渐消失,因为最近很明显,医学可以从系统技术中获益良多。尤其是,可以将药物管理问题作为控制工程问题,其目的是使体内某些器官的药物浓度保持在所需的设定点附近。许多限制因素使该问题颇具挑战性。例如,可能会对药物浓度施加严格的限制,因为如果浓度超过上限,则药物的作用将是有害的和有毒的。在本文中,我们证明了控制工程中常用的方法可用于确定最佳药物。行政。具体而言,可以采用模型预测控制(MPC)技术来做出有关调节人体中药物浓度的最佳决策,同时对药物浓度和输液速度都施加约束。

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