TY - JOUR
T1 - BCG and IL − 2 model for bladder cancer treatment with fast and slow dynamics based on S PVF method—stability analysis
AU - Nave, OPhir
AU - Hareli, Shlomo
AU - Elbaz, Miriam
AU - Iluz, Itzhak Hayim
AU - Bunimovich-Mendrazitsky, Svetlana
N1 - Publisher Copyright:
© 2019 the Author(s)
PY - 2019
Y1 - 2019
N2 - In this study, we apply the method of singularly perturbed vector field (S PVF) and its application to the problem of bladder cancer treatment that takes into account the combination of Bacillus CalmetteGurin vaccine (BCG) and interleukin (IL)-2 immunotherapy (IL − 2). The model is presented with a hidden hierarchy of time scale of the dynamical variables of the system. By applying the S PVF, we transform the model to S PS (Singular Perturbed System) form with explicit hierarchy, i.e., slow and fast sub-systems. The decomposition of the model to fast and slow subsystems, first of all, reduces significantly the time computer calculations as well as the long and complex algebraic expressions when investigating the full model. In addition, this decomposition allows us to explore only the fast subsystem without losing important biological/ mathematical information of the original system.The main results of the paper were that we obtained explicit expressions of the equilibrium points of the model and investigated the stability of these points.
AB - In this study, we apply the method of singularly perturbed vector field (S PVF) and its application to the problem of bladder cancer treatment that takes into account the combination of Bacillus CalmetteGurin vaccine (BCG) and interleukin (IL)-2 immunotherapy (IL − 2). The model is presented with a hidden hierarchy of time scale of the dynamical variables of the system. By applying the S PVF, we transform the model to S PS (Singular Perturbed System) form with explicit hierarchy, i.e., slow and fast sub-systems. The decomposition of the model to fast and slow subsystems, first of all, reduces significantly the time computer calculations as well as the long and complex algebraic expressions when investigating the full model. In addition, this decomposition allows us to explore only the fast subsystem without losing important biological/ mathematical information of the original system.The main results of the paper were that we obtained explicit expressions of the equilibrium points of the model and investigated the stability of these points.
KW - BCG
KW - Dirac delta function
KW - Gamma distribution function
KW - IL-2 combined therapy
KW - Impulse differential equations
KW - Mathematical modeling
KW - Therapy schedule
UR - http://www.scopus.com/inward/record.url?scp=85070509786&partnerID=8YFLogxK
U2 - 10.3934/mbe.2019267
DO - 10.3934/mbe.2019267
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C2 - 31499716
AN - SCOPUS:85070509786
SN - 1547-1063
VL - 16
SP - 5346
EP - 5379
JO - Mathematical Biosciences and Engineering
JF - Mathematical Biosciences and Engineering
IS - 5
ER -