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All Journal International Journal of Robotics and Control Systems
Ali Mojarrad Ghahfarokhi
Computer Science and Engineering department of Oakland University, 318 Meadow Brook Rd, Rochester, MI 48309, USA
Control & Systems Engineering Electrical & Electronics Engineering

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Treatment of Bone Marrow Cancer Based on Model Predictive Control Ehsan Salajegheh; Sepide Mojalal; Ali Mojarrad Ghahfarokhi
International Journal of Robotics and Control Systems Vol 1, No 4 (2021)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v1i4.481

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.
Co-Authors Ehsan Salajegheh Sepide Mojalal