Abstract
Optimal control theory is a highly developed subject. It has been applied in diverse fields of engineering, physics, economics, operation research, management sciences, policy planning etc. In particular, this subject has been successfully applied to bio-medical engineering problems like artificial heart, prosthesis. In this paper we present a brief summary of two recent papers on cancer immunotherapy and bio-reactors.
Highlights
In a recent paper [1] we proposed a dynamic model to represent the population of antigens and antibodies in cancer patients, in particular, the antigen-specific-antibody interactions to elicit immune response that leads to the death of cancer cells
In another paper we considered bio-reactors and their optimal control and presented some interesting numerical results in [3]
The basic idea behind the immunotherapy is to use any feasible clinical technique that can enhance the patients immune system to destroy the antigens, for example, the cancer cells. This rapidly developing field of cancer immunology [4,5] has discovered new methods for treating cancer known as immunotherapy whereby the natural immune system of the human body is enhanced to fight cancer
Summary
School of Information Technology and Engineering, University of Ottawa, Canada *Corresponding author: NU Ahmed, School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada To Cite This Article: NU Ahmed. Application of Optimal Control Theory to Biomedical and Biochemical Processes. Am J Biomed Sci & Res. 2019 - 3(4). AJBSR.MS.ID.000683. DOI: 10.34297/AJBSR.2019.03.000683
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