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Journal of Biological Dynamics Volume 6, 2012 - Issue 2
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Original Articles

Modelling and optimal control of immune response of renal transplant recipients

H. T. Banks Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC, 27695-8212, USACorrespondence[email protected]
,
Shuhua Hu Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC, 27695-8212, USA
,
Taesoo Jang Department of Mathematics, Inha University, Yonghyundong, Namgu, Incheon, 402-751, Republic of Korea
&
Hee-Dae Kwon Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC, 27695-8212, USA; Department of Mathematics, Inha University, Yonghyundong, Namgu, Incheon, 402-751, Republic of Korea
Pages 539-567 | Received 11 Sep 2011, Accepted 16 Dec 2011, Published online: 01 Feb 2012

Citations (13)

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Read on this site (2)

H. T. Banks, R. A. Everett, Shuhua Hu, Neha Murad & H. T. Tran. (2018) Mathematical and statistical model misspecifications in modelling immune response in renal transplant recipients. Inverse Problems in Science and Engineering 26:2, pages 203-222.
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H.T. Banks, Shuhua Hu, Kathryn Link, Eric S. Rosenberg, Sheila Mitsuma & Lauren Rosario. (2016) Modelling immune response to BK virus infection and donor kidney in renal transplant recipients. Inverse Problems in Science and Engineering 24:1, pages 127-152.
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Articles from other publishers (11)

Amin Khakpour Komarsofla, Fatemeh Heyran, Javad K. Mehr & Ramin Vatankhah. (2023) Hybrid Control of Immune Response and HCMV Infection of Renal Transplant Recipient. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:4, pages 2399-2409.
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Maya M. Lapp, Guang Lin, Alexander Komin, Leah Andrews, Mei Knudson, Lauren Mossman, Giorgio Raimondi & Julia C. Arciero. (2022) Modeling the Potential of Treg-Based Therapies for Transplant Rejection: Effect of Dose, Timing, and Accumulation Site. Transplant International 35.
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Fatemeh Heiran, Javad Khodaei-Mehr, Ramin Vatankhah & Mojtaba Sharifi. (2021) Nonlinear adaptive control of immune response of renal transplant recipients in the presence of uncertainties. Biomedical Signal Processing and Control 63, pages 102163.
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Pouria Faridi, Ramin Vatankhah & Mojtaba Sharifi. 2021. Modeling and Control of Drug Delivery Systems. Modeling and Control of Drug Delivery Systems 13 28 .
Miguel Fribourg. (2020) A case for the reuse and adaptation of mechanistic computational models to study transplant immunology. American Journal of Transplantation 20:2, pages 355-361.
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G. Rigatos, K. Busawon & M. Abbaszadeh. (2020) Nonlinear optimal control of the acute inflammatory response. Biomedical Signal Processing and Control 55, pages 101631.
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Neha Murad, H.T. Tran & H.T. Banks. (2018) Optimal control of immunosuppressants in renal transplant recipients susceptible to BKV infection. Optimal Control Applications and Methods 40:2, pages 292-309.
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Jerry A. McMahanJr.Jr., Brian J. Williams, Ralph C. Smith & Nicholas Malaya. (2017) A Linear Regression Framework for the Verification of Bayesian Model Calibration Algorithms. Journal of Verification, Validation and Uncertainty Quantification 2:2.
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Kairui Feng & Robert H Leary. (2017) Toward personalized medicine with physiologically based pharmacokinetic modeling. International Journal of Pharmacokinetics 2:1, pages 1-4.
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Hee-Dae Kwon, Jeehyun Lee & Myoungho Yoon. (2016) Feedback control of the immune response of renal transplant recipients with inequality constraints. Computers & Mathematics with Applications 71:11, pages 2338-2351.
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L. Bayón, J.A. Otero, P.M. Suárez & C. Tasis. (2016) New developments in the application of optimal control theory to therapeutic protocols. Mathematical Biosciences 272, pages 34-43.
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