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

机译:基于生理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:系统工程和医学之间的障碍在缓慢地侵蚀,最近变得明显,医学从系统技术获得了很多。特别地,药物给药问题可以作为控制工程问题铸造,其中目的是将某些器官的药物浓度保持在主体中的某些器官接近所需的设定点。许多约束使问题相当具有挑战性。例如,硬约束可以构成药物浓度,因为如果它超过上限,则药物的效果是不良和毒性的。本文示出了控制工程中的流行方法可用于确定最佳药物行政。具体地,可以采用模型预测控制(MPC)技术来考虑关于人体中药物浓度的调节的最佳决定,同时构成药物浓度和药物输注速率的限制。

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