Markov Model for the Flow of Nanobots in the Human Circulatory System

Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication Pub Date : 2021-09-07 DOI:10.1145/3477206.3477477

J. T. Gómez, R. Wendt, Anke Kuestner, Ketki Pitke, Lukas Stratmann, F. Dressler

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引用次数: 4

Abstract

Recent advances in nanotechnology show possible applications of nano-devices within the human body. For example, technical solutions are under development to make use of nanobots to carry and release drugs via the circulatory system. In this scenario, it is important to study the location and the location distribution of nanobots in the human circulatory system (HCS). However, due to bifurcations and the variety of structures in the human vessels, this problem is rather challenging. In this paper, we address a new methodology based on a Markov chain model to study the distribution of nanobots in the HCS. The transition probabilities are assessed through analogies of their representation with an electric circuit representation of the HCS. Additionally, we conducted simulations in the simulation framework BloodVoyagerS to compare results with the provided Markov model. Our evaluation shows that the new model accounts well for the location of the nano-devices as well as their trajectories.

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纳米机器人在人体循环系统中流动的马尔可夫模型

纳米技术的最新进展显示了纳米装置在人体内的可能应用。例如，利用纳米机器人通过循环系统携带和释放药物的技术解决方案正在开发中。在这种情况下，研究纳米机器人在人体循环系统(HCS)中的位置和位置分布是很重要的。然而，由于人类血管的分叉和结构的多样性，这个问题是相当具有挑战性的。在本文中，我们提出了一种基于马尔可夫链模型的新方法来研究纳米机器人在HCS中的分布。通过将转换概率的表示与HCS的电路表示进行类比来评估转换概率。此外，我们在模拟框架bloodvoyager中进行了模拟，以将结果与提供的马尔可夫模型进行比较。我们的评估表明，新模型很好地解释了纳米器件的位置及其轨迹。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication

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