Treatment of Bone Marrow Cancer Based on Model Predictive Control
(1) * Ehsan Salajegheh Mail (Electrical and Computer Engineering department, Iran, Islamic Republic of)
(2) Sepide Mojalal Mail (Mechanics, Electrical Power and Computer department of Azad University, Science and Research branch, Simon Bolivar Blvd- Daneshgah Blvd, Tehran 14515/775, Iran, Iran, Islamic Republic of)
(3) Ali Mojarrad Ghahfarokhi Mail (Computer Science and Engineering department of Oakland University, 318 Meadow Brook Rd, Rochester, MI 48309, USA, United States)
*corresponding author

Abstract


Bone marrow is a spongy tissue that contains stem cells that are found inside some bones, including the hip and femur. Bone marrow cancer is a type of cancer that is caused by stem cells that make up the blood cells in the bone marrow. Sometimes these cells grow too fast or abnormally, which is called bone marrow cancer. Bone tissue cells are mainly composed of osteoblasts and osteoclasts. Osteoblast cells constantly build new bone throughout the life of each bone, and other cells called osteoclasts constantly absorb pieces of bone, so the bone is constantly being renewed. In this paper, mathematical models of tumors, the effect of the body on the drug, and the drug on the body are introduced, and then the appropriate dose of the drug to reduce tumor density is calculated using the model predictive control (MPC) algorithm. To obtain an adaptive MPC strategy, the extended least squares (ELS) method developed to learn the parameters of the tumor growth model is used. Finally, the simulation in MATLAB, assuming the model is correct, shows that the tumor is gone, and the bone mass improves over a period of time. The results demonstrate that the proposed method is effective for the treatment of bone marrow cancer.

Keywords


Bone marrow cancer; Model predictive control (MPC); Adaptive control; Pharmacological models; Machine Learning

   

DOI

https://doi.org/10.31763/ijrcs.v1i4.481 		      

Article metrics

10.31763/ijrcs.v1i4.481 Abstract views : 2954 | PDF views : 504

   

Cite

How to cite item
   

Full Text

Download

References


[1] G. J. Tortora and B. H. Derrickson, Introduction to the human body. John Wiley & Sons, 2017.

[2] A. Jasemi, B. K. Moghadas, A. Khandan, and S. Saber-Samandari, "A porous calcium-zirconia scaffolds composed of magnetic nanoparticles for bone cancer treatment: Fabrication, characterization and FEM analysis," Ceramics International, 2021. https://doi.org/10.1016/j.ceramint.2021.09.216

[3] K. Staňková, J. S. Brown, W. S. Dalton, and R. A. Gatenby, "Optimizing cancer treatment using game theory: A review," JAMA oncology, vol. 5, no. 1, pp. 96-103, 2019. https://doi.org/10.1001/jamaoncol.2018.3395

[4] E. Ahani, M. Montazer, T. Toliyat, and M. Mahmoudi Rad, "A novel biocompatible antibacterial product: Nanoliposomes loaded with poly (hexamethylene biguanide chloride)," Journal of Bioactive and Compatible Polymers, vol. 32, no. 3, pp. 242-262, 2017. https://doi.org/10.1177/0883911516675367

[5] F. Heydarpour, E. Abbasi, M. Ebadi, and S.-M. Karbassi, "Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks," International Journal of Interactive Multimedia & Artificial Intelligence, vol. 6, no. 4, 2020. https://doi.org/10.9781/ijimai.2020.11.011

[6] E. Ahani, T. Toliyat, and M. Mahmoudi Rad, "Comparing size particle, release study and cytotoxicity activity of PHMB encapsulated in different liposomal formulations: neutral and cationic liposomes," Journal of Bioengineering Research, vol. 1, no. 3, pp. 1-6, 2019. http://www.journalbe.com/article_93677.html

[7] M. Peyroteo, J. Belinha, and R. N. Jorge, "Predicting bone remodeling using a mechano-biological mathematical model combined with a natural neighbor meshless method," Engineering Analysis with Boundary Elements, vol. 132, pp. 437-445, 2021. https://doi.org/10.1016/j.enganabound.2021.08.004

[8] H. Rafieipour, A. Abdollah Zadeh, A. Moradan, and Z. Salekshahrezaee, "Study of Genes Associated With Parkinson Disease Using Feature Selection," Journal of Bioengineering Research, vol. 2, no. 4, pp. 1-12, 2020. http://www.journalbe.com/article_119745.html

[9] P. Khalili, R. Vatankhah, and S. Taghvaei, "Optimal sliding mode control of drug delivery in cancerous tumour chemotherapy considering the obesity effects," IET Systems Biology, vol. 12, no. 4, pp. 185-189, 2018. https://doi.org/10.1049/iet-syb.2017.0094

[10] A. Javadi, F. Keighobadi, V. Nekoukar, and M. Ebrahimi, "Finite-Set Model Predictive Control of Melanoma Cancer Treatment Using Signaling Pathway Inhibitor of Cancer Stem Cell," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 4, pp. 1504-1511, 2021. https://doi.org/10.1109/TCBB.2019.2940658

[11] M. Li, S. Hu, J. Xia, J. Wang, X. Song, and H. Shen, "Dissolved oxygen model predictive control for activated sludge process model based on the fuzzy C-means cluster algorithm," International Journal of Control, Automation and Systems, vol. 18, no. 9, pp. 2435-2444, 2020. https://doi.org/10.1007/s12555-019-0438-1

[12] J. M. Lemos and D. V. Caiado, "Receding horizon control of tumor growth based on optimal control," in 2015 23rd Mediterranean Conference on Control and Automation (MED), 2015, IEEE, pp. 150-155. https://doi.org/10.1109/MED.2015.7158743

[13] E. Sadeghi, I. Zamani, Z. G. Zarandi, and S. T. Afshari, "Finite-Time Fuzzy Control Design for Drug Dosage Delivery in Cancer Treatment," in 2021 7th International Conference on Control, Instrumentation and Automation (ICCIA), 2021, IEEE, pp. 1-6. https://doi.org/10.1109/ICCIA52082.2021.9403530

[14] G. Goodwin, A. Medioli, K. Murray, R. Sykes, and C. Stephen, "Applications of MPC in the area of health care," in Handbook of Model Predictive Control: Springer, 2019, pp. 529-550. https://doi.org/10.1007/978-3-319-77489-3_22

[15] J. Zu, L. Tan, L. Yang, Q. Wang, J. Qin, J. Peng, H. Jiang, R. Tan, and J. Gu, "Hypoxia Engineered Bone Marrow Mesenchymal Stem Cells Targeting System with Tumor Microenvironment Regulation for Enhanced Chemotherapy of Breast Cancer," Biomedicines, vol. 9, no. 5, p. 575, 2021. https://doi.org/10.3390/biomedicines9050575

[16] M. Peyroteo, J. Belinha, L. Dinis, and R. N. Jorge, "Bone remodeling mathematical models using advanced discretization techniques: A review," Biodental Engineering V, pp. 155-160, 2019. https://doi.org/10.1201/9780429265297-32

[17] S. Trichilo, "Assessment of the anabolic effects of PTH drug treatment and mechanical loading on bone using high-resolution imaging and in silico modelling," 2018. https://minerva-access.unimelb.edu.au/handle/11343/222127

[18] H. Silva, J. Lemos, and B. Costa, "Adaptive predictive control based therapy of bone marrow cancer," IFAC-PapersOnLine, vol. 49, no. 13, pp. 330-335, 2016. https://doi.org/10.1016/j.ifacol.2016.07.989

[19] X. Li, C. Zhang, T. Zhao, and Z. Han, "Adaptive predictive control method for improving control stability of air-conditioning terminal in public buildings," Energy and Buildings, vol. 249, p. 111261, 2021. https://doi.org/10.1016/j.enbuild.2021.111261

[20] Z. Pang, C. Bai, G. Liu, Q. Han, and X. Zhang, "A novel networked predictive control method for systems with random communication constraints," Journal of Systems Science and Complexity, vol. 34, no. 4, pp. 1364-1378, 2021. https://doi.org/10.1007/s11424-021-0160-y

[21] H. Komurcugil, S. Bayhan, N. Guler, and F. Blaabjerg, "An effective model predictive control method with self-balanced capacitor voltages for single-phase three-level shunt active filters," IEEE Access, vol. 9, pp. 103811-103821, 2021. https://doi.org/10.1109/ACCESS.2021.3097812

[22] A. Balal, S. Rukh, and S. Balali, "Designing a Dual Active Transformer DC-DC Forward Converter for DC Micro-Grid Applications Using LTSPICE," International Journal of Applied Engineering Research, vol. 16, no. 4, pp. 327-331, 2021. https://www.ripublication.com/ijaer21/ijaerv16n4_13.pdf

[23] A. Balal and M. Murshed, "Implementation and comparison of Perturb and Observe, and Fuzzy Logic Control on Maximum Power Point Tracking (MPPT) for a Small Satellite," Journal of Soft Computing and Decision Support Systems, vol. 8, no. 2, pp. 14-18, 2021. http://www.jscdss.com/index.php/files/article/view/248

[24] S. F. Ahsan and M. F. Khan, "Physicochemical Properties and Pharmacology of Amlodipine Besylate: A Brief Review," Baqai Journal of Health Sciences, vol. 20, no. 2, pp. 27-31, 2017. https://baqai.edu.pk/baqaiassets/bjhs/admin/articlefiles/1525325965upl0.pdf

[25] A. Yousefiankalareh, A. Najari, and M. Hosseynzadeh, "Tree-based Routing Protocol in Wireless Sensor Networks using Optimization Algorithm Batch Particles with a Mobile Sink," in 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), 2020: IEEE, pp. 1-5. https://doi.org/10.1109/HONET50430.2020.9322844

[26] R. S. Taremi, P. K. Shahri, and A. Y. Kalareh, "Design a tracking control law for the nonlinear continuous time fuzzy polynomial systems," Journal of Soft Computing and Decision Support Systems, vol. 6, no. 6, pp. 21-27, 2019. http://www.jscdss.com/index.php/files/article/view/216

[27] A. Yousefiankalareh, M. A. Manoochehri, S. A. Khoshnevis, and S. R. Surakanti, "Improve the Frequency Identification in SSVEP based BCI Systems with Moving Windows Algorithm," in 2019 6th International Conference on Control, Instrumentation and Automation (ICCIA), 2019, IEEE, pp. 1-5. https://doi.org/10.1109/ICCIA49288.2019.9030862

[28] P. K. Shahri, A. H. Ghasemi, and V. Izadi, "Optimal Lane Management in Heterogeneous Traffic Network Using Extremum Seeking Approach," SAE Technical Paper, p. 2020-01-0086, 2020. https://doi.org/10.4271/2020-01-0086

[29] V. Izadi and A. H. Ghasemi, "Modulation of control authority in adaptive haptic shared control paradigms," Mechatronics, vol. 78, p. 102598, 2021. https://doi.org/10.1016/j.mechatronics.2021.102598

[30] V. Izadi and A. H. Ghasemi, "Adaptive Impedance Control for the Haptic Shared Driving Task Based on Nonlinear MPC," in Dynamic Systems and Control Conference, 2020, vol. 84270, American Society of Mechanical Engineers, p. V001T17A004. https://doi.org/10.1115/DSCC2020-3296

[31] V. Izadi, M. Abedi, and H. Bolandi, "Supervisory algorithm based on reaction wheel modelling and spectrum analysis for detection and classification of electromechanical faults," IET Science, Measurement & Technology, vol. 11, no. 8, pp. 1085-1093, 2017. https://doi.org/10.1049/iet-smt.2017.0137


Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Ehsan Salajegheh, Sepideh Mojalal, Ali Mojarrad Ghahfarokhi

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

About the JournalJournal PoliciesAuthor Information

International Journal of Robotics and Control Systems
e-ISSN: 2775-2658
Website: https://pubs2.ascee.org/index.php/IJRCS
Email: ijrcs@ascee.org
Organized by: Association for Scientific Computing Electronics and Engineering (ASCEE), Peneliti Teknologi Teknik Indonesia, Department of Electrical Engineering, Universitas Ahmad Dahlan and Kuliah Teknik Elektro
Published by: Association for Scientific Computing Electronics and Engineering (ASCEE)
Office: Jalan Janti, Karangjambe 130B, Banguntapan, Bantul, Daerah Istimewa Yogyakarta, Indonesia