Mathematical Modeling of Antitumor Viral Vaccine Therapy: From the Experiment to the Clinic

Q3 Engineering
N. Babushkina, E. Kuzina
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引用次数: 1

Abstract

The paper presents the model developed to identify efficient strategies of antitumor viral vaccine introduction. These strategies are able to produce complete suppression of the tumor growth. The model was developed in MatLab-Simulink. Three efficient strategies of viral vaccine introduction were produced. It was found that the choice of the strategy depends on the tumor size at the start of the treatment, and the range of the tumor sizes for each of the strategies was identified. For the small tumors, elimination of the tumor can be achieved through single-shot vaccine administration in dosages that lead to the death of tumor cells caused directly by the virus. For the big tumors that are within the threshold size, elimination of the tumor can be achieved through repeated vaccine administrations with stepwise reduction of time periods between them. For the tumors of any size, the strategy of repeated administration of the virus-based vaccine that allows stabilizing the tumor size as per the start of the treatment was defined.
抗肿瘤病毒疫苗治疗的数学建模:从实验到临床
本文介绍了为确定抗肿瘤病毒疫苗引入的有效策略而开发的模型。这些策略能够完全抑制肿瘤的生长。该模型是在MatLab-Simulink中开发的。提出了三种有效的病毒疫苗引入策略。研究发现,策略的选择取决于治疗开始时的肿瘤大小,并确定了每种策略的肿瘤大小范围。对于小肿瘤,可以通过单次注射疫苗来消除肿瘤,其剂量导致由病毒直接引起的肿瘤细胞死亡。对于在阈值范围内的大肿瘤,可以通过反复接种疫苗并逐步缩短接种间隔来消除肿瘤。对于任何大小的肿瘤,确定了重复施用基于病毒的疫苗的策略,以便在治疗开始时稳定肿瘤大小。
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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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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