Dual therapy of cancer using optimal control supported by swarm intelligence

IF 1 4区医学 Q4 ENGINEERING, BIOMEDICAL

Bio-medical materials and engineering Pub Date : 2023-12-28 DOI:10.3233/bme-230150

Poh Ling Tan, Jeevan Kanesan, Joon Huang Chuah, Irfan Anjum Badruddin, Abdallah Abdellatif, Sarfaraz Kamangar, Mohamed Hussien, Maughal Ahmed Ali Baig, N. Ameer Ahammad

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引用次数: 0

Abstract

BACKGROUND:The scientific revolution in the treatment of many illnesses has been significantly aided by stem cells. This paper presents an optimal control on a mathematical model of chemotherapy and stem cell therapy for cancer treatment. OBJECTIVE:To develop effective hybrid techniques that combine the optimal control theory (OCT) with the evolutionary algorithm and multi-objective swarm algorithm. The developed technique is aimed to reduce the number of cancerous cells while utilizing the minimum necessary chemotherapy medications and minimizing toxicity to protect patients’ health. METHODS:Two hybrid techniques are proposed in this paper. Both techniques combined OCT with the evolutionary algorithm and multi-objective swarm algorithm which included MOEA/D, MOPSO, SPEA II and PESA II. This study evaluates the performance of two hybrid techniques in terms of reducing cancer cells and drug concentrations, as well as computational time consumption. RESULTS:In both techniques, MOEA/D emerges as the most effective algorithm due to its superior capability in minimizing tumour size and cancer drug concentration. CONCLUSION:This study highlights the importance of integrating OCT and evolutionary algorithms as a robust approach for optimizing cancer chemotherapy treatment.

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利用蜂群智能支持的优化控制对癌症进行双重治疗

背景：干细胞为治疗多种疾病带来了巨大的科学革命。本文介绍了癌症化疗和干细胞治疗数学模型的最优控制。目的：开发有效的混合技术，将最优控制理论（OCT）与进化算法和多目标群算法相结合。所开发的技术旨在减少癌细胞数量，同时使用最少的必要化疗药物，并将毒性降至最低，以保护患者的健康。方法：本文提出了两种混合技术。这两种技术将 OCT 与进化算法和多目标群算法（包括 MOEA/D、MOPSO、SPEA II 和 PESA II）相结合。本研究评估了两种混合技术在减少癌细胞和药物浓度以及计算时间消耗方面的性能。结果：在这两种技术中，MOEA/D 是最有效的算法，因为它能最大限度地减少肿瘤大小和抗癌药物浓度。结论：本研究强调了整合 OCT 和进化算法作为优化癌症化疗治疗的一种稳健方法的重要性。

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

Bio-medical materials and engineering 工程技术-材料科学：生物材料

CiteScore

1.80

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： The aim of Bio-Medical Materials and Engineering is to promote the welfare of humans and to help them keep healthy. This international journal is an interdisciplinary journal that publishes original research papers, review articles and brief notes on materials and engineering for biological and medical systems. Articles in this peer-reviewed journal cover a wide range of topics, including, but not limited to: Engineering as applied to improving diagnosis, therapy, and prevention of disease and injury, and better substitutes for damaged or disabled human organs; Studies of biomaterial interactions with the human body, bio-compatibility, interfacial and interaction problems; Biomechanical behavior under biological and/or medical conditions; Mechanical and biological properties of membrane biomaterials; Cellular and tissue engineering, physiological, biophysical, biochemical bioengineering aspects; Implant failure fields and degradation of implants. Biomimetics engineering and materials including system analysis as supporter for aged people and as rehabilitation; Bioengineering and materials technology as applied to the decontamination against environmental problems; Biosensors, bioreactors, bioprocess instrumentation and control system; Application to food engineering; Standardization problems on biomaterials and related products; Assessment of reliability and safety of biomedical materials and man-machine systems; and Product liability of biomaterials and related products.