Personalized therapy using drug delivery devices

被引:0
|
作者
Drexler, Daniel A. [1 ]
Gergics, Borbala [1 ]
Puskas, Melania [1 ]
Haidegger, Tanias P. [2 ,3 ]
Kovacs, Levente A. [1 ]
机构
[1] Obuda Univ, Univ Res & Innovat Ctr EKIK, Physiol Controls Res Ctr, Budapest, Hungary
[2] Obuda Univ, EKIK, Antal Bejczy Ctr Intelligent Robot, Budapest, Hungary
[3] ACMIT, Austrian Ctr Med Innovat & Technol, Wiener Neustadt, Austria
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 24期
基金
欧洲研究理事会;
关键词
drug delivery systems; wearable devices; control algorithms; personalized therapy;
D O I
10.1016/j.ifacol.2024.11.096
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Automated Drug Delivery (ADD) systems refer to advanced medical technologies and methods designed to transfer pharmaceutical compounds to specific sites within the body in an automated, controlled, precise, and efficient manner. These systems aim to reduce side effects, prevent over-dosage, and improve patient adherence to treatment regimens; moreover, they bring relaxation to healthcare providers through automated quality assurance. ADD systems have become demanding components in achieving personalized therapy and precision medicine. Technology currently allows to automatically medicate people with portable devices. Drug delivery devices are available, but the sensors need further development and testing to enable safe and more accurate measurements in the future. Exploiting the potential in ADD systems requires the application of control theory. This paper reviews the currently available drug delivery devices and examines how our existing control algorithms may enhance a wearable system. We discuss algorithms for both impulsive therapy and continuous therapy, covering the possible applications. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:550 / 555
页数:6
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