• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.6
• /
• pp.475-486
• /
• 2004

The interaction of HIV and human immune system was studied in the perspective of dynamics. We summarized the recent researches on drug scheduling using optimal control theory for HIV treatment. The drug treatment to make immune system to work properly is investigated based on mathematical models including memory CTLp. In the simulation results, it was verified that stopping medication after a certain period of treatment can lead a patient to be cured naturally by one s immune system. Also, we summarized and categorized the advantages and disadvantages of each HIV drug scheduling method. In conclusion, model-based predictive control is more efficient for making decision of drug dose than other methods, when there exist uncertainties on model parameters or state variables.

• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1243-1258
• /
• 2017

A new medical materials scheduling system and its modeling method for the complex rescue are presented. Different from other similar system, first both the BeiDou Satellite Communication System (BSCS) and the Special Fiber-optic Communication Network (SFCN) are used to collect the rescue requirements and the location information of disaster areas. Then all these messages will be displayed in a special medical software terminal. After that the bipartite graph models are utilized to compute the optimal scheduling of medical materials. Finally, all these results will be transmitted back by the BSCS and the SFCN again to implement a fast guidance of medical rescue. The sole drug scheduling issue, the multiple drugs scheduling issue, and the backup-scheme selection issue are all utilized: the Kuhn-Munkres algorithm is used to realize the optimal matching of sole drug scheduling issue, the spectral clustering-based method is employed to calculate the optimal distribution of multiple drugs scheduling issue, and the similarity metric of neighboring matrix is utilized to realize the estimation of backup-scheme selection issue of medical materials. Many simulation analysis experiments and applications have proved the correctness of proposed technique and system.

• 제어로봇시스템학회:학술대회논문집
• /
• 2004.08a
• /
• pp.330-335
• /
• 2004

Phase specific models for cancer chemotherapy are described as optimal control problems. We review earlier results on scheduling optimal therapies when the controls represent the effectiveness of chemotherapeutic agents, or, equivalently, when the simplifying assumption is made that drugs act instantaneously. In this paper we discuss how to incorporate more realistic medical aspects which hitherto have been neglected in the models. They include pharmacokinetic equations (PK) which model the drug's plasma concentration and various pharmacodynamic models (PD) which describe the effect the concentrations have on cells. We also briefly discuss the important medical issue of drug resistance.

• Proceedings of the IEEK Conference
• /
• 2009.05a
• /
• pp.135-137
• /
• 2009

Mathematical models for describing the Human Immunodeficiency Virus(HIV) infection can be devised to better understand how the HIV causes Acquired Immune Deficiency Syndrome(AIDS). The HIV models can then be used to find clues to curing AIDS from a control theoretical point of view. Some models take Cytotoxic T Lymphocytes(CTL) response to HIV infection into account, and others consider mutants against the drugs. However, to the best of our knowledge, there has been no model developed, which describes CTL response and mutant HIV together. Hence we propose a unified model to consider both of these. On the basis of the resulting model, we also present a Model Predictive Control(MPC) scheme to find an optimal treatment strategy. The optimization is performed under the assumption that the Structured Treatment Interruption(STI) policy is employed.

• International Journal of Control, Automation, and Systems
• /
• v.1 no.3
• /
• pp.282-288
• /
• 2003

It is known that HIV (Human Immunodeficiency Virus) infection, which causes AIDS after some latent period, is a dynamic process that can be modeled mathematically. Effects of available anti-viral drugs, which prevent HIV from infecting healthy cells, can also be included in the model. In this paper we illustrate control theory can be applied to a model of HIV infection. In particular, the drug dose is regarded as control input and the goal is to excite an immune response so that the symptom of infected patient should not be developed into AIDS. Finite horizon optimal control is employed to obtain the optimal schedule of drug dose since the model is highly nonlinear and we want maximum performance for enhancing the immune response. From the simulation studies, we found that gradual reduction of drug dose is important for the optimality. We also demonstrate the obtained open-loop optimal control is vulnerable to parameter variation of the model and measurement noise. To overcome this difficulty, we finally present nonlinear receding horizon control to incorporate feedback in the drug treatment.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.1951-1956
• /
• 2003

It is known that HIV (Human Immunodeficiency Virus) infection, which causes AIDS after some latent period, is a dynamic process that can be modeled mathematically. Effects of available anti-viral drugs, which prevent HIV from infecting healthy cells, can also be included in the model. In this paper we illustrate control theory can be applied to a model of HIV infection. In particular, the drug dose is regarded as control input and the goal is to excite an immune response so that the symptom of infected patient should not be developed into AIDS. Finite horizon optimal control is employed to obtain the optimal schedule of drug dose since the model is highly nonlinear and we want maximum performance for enhancing the immune response. From the simulation studies, we find that gradual reduction of drug dose is important for the optimality. We also demonstrate the obtained open-loop optimal control is vulnerable to parameter variation of the model and measurement noise. To overcome this difficulty, we finally present nonlinear receding horizon control to incorporate feedback in the drug treatment.

• BMB Reports
• /
• v.50 no.7
• /
• pp.355-360
• /
• 2017

Mutations in Ras GTPase are among the most common genetic alterations in human cancers. Despite extensive research investigating Ras proteins, their functions still remain a challenge over a long period of time. The currently available data suggests that solving the outstanding issues regarding Ras could lead to development of effective drugs that could have a significant impact on cancer treatment. Developing a better understanding of their biochemical properties or modes of action, along with improvements in their pharmacologic profiles, clinical design and scheduling will enable the development of more effective therapies.

• Korean Journal of Clinical Pharmacy
• /
• v.25 no.1
• /
• pp.56-58
• /
• 2015

Summary: We report the first hepatic adverse effect of tosufloxacin tosylate in a muscle invasive bladder cancer patient with normal liver functions and with scheduling to undergo a surgical operation for a neobladder. Tosufloxacin tosylate 150 mg was administered to a 57-year-old man who maintained transurethral resection of bladder tumor (TUR-BT) postoperative multiple medications. His labs presented significant increases in alanine amino transferase (ALT) and aspartate amino transferase (AST) levels with 2-week compliance of 150 mg tablet three times a day. After discontinuing tosufloxacin tosylate, the levels slowly decreased and completely returned to normal ranges without any intervention in a few weeks. The Naranjo Causality Algorithm indicates a probable relationship between increased ALT and tosufloxacin. The patient was to have the second surgical operation as scheduled after getting normal range of ATL level. Therefore, tosufloxacin should be avoided in patients at risk for having liver dysfunctions or diseases if the patients have a schedule for any operation. Background: Tosufloxacin tosylate has been shown to have favorable benefits as an antibiotic. Tosufloxacin tosylate may be considered to have the adverse effects such as nauseas, vomiting, diarrhea, abdominal pain, stomatitis, tendonitis, tendon rupture, headache, dizziness, drowsiness, insomnia, weakness, agitation including hemolysis in the event of glucose-6-phosphate dehydrogenase deficiency as other fluoroquinolones. More severe adverse reactions of tosufloxacin tosylate over the above common adverse effects of fluoroquinolones were thrombocytopenia and nephritis. It also is not well known that tosufloxacin can cause hepatic problem. Here the study reports the first hepatic reaction from tosufloxacin and might arouse heath care providers' attention to appropriate drug choice for patients.