An Analysis of Monitoring Solutions for CAR T Cell Production

IF 3.3 Q3 ENGINEERING, BIOMEDICAL
Arber Shoshi, Yuchen Xia, Andrea Fieschi, Yannick Baumgarten, Andrea Gaißler, Thomas Ackermann, Peter Reimann, Bernhard Mitschang, Michael Weyrich, Thomas Bauernhansl, Robert Miehe
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引用次数: 0

Abstract

The chimeric antigen receptor T cell (CAR T) therapy has shown remarkable results in treating certain cancers. It involves genetically modifying a patient's T cells to recognize and attack cancer cells. Despite its potential, CAR T cell therapy is complex and costly and requires the integration of multiple technologies and specialized equipment. Further research is needed to achieve the maximum potential of CAR T cell therapies and to develop effective and efficient methods for their production. This paper presents an overview of current measurement methods used in the key steps of the production of CAR T cells. The study aims to assess the state of the art in monitoring solutions and identify their potential for online monitoring. The results of this paper contribute to the understanding of measurement methods in CAR T cell manufacturing and identify areas where on-line monitoring can be improved. Thus, this research facilitates progress toward the development of effective monitoring of CAR T cell therapies.

Abstract Image

CAR - T细胞生产监测方案分析
嵌合抗原受体T细胞(CAR - T)疗法在治疗某些癌症方面显示出显著的效果。它包括对患者的T细胞进行基因改造,以识别和攻击癌细胞。尽管有潜力,但CAR - T细胞疗法复杂且昂贵,需要多种技术和专用设备的整合。需要进一步的研究来实现CAR - T细胞疗法的最大潜力,并开发出有效和高效的生产方法。本文概述了目前在CAR - T细胞生产的关键步骤中使用的测量方法。该研究旨在评估监测解决方案的现状,并确定其在线监测的潜力。本文的结果有助于理解CAR - T细胞制造中的测量方法,并确定在线监测可以改进的领域。因此,这项研究促进了对CAR - T细胞疗法进行有效监测的进展。
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来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
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