Applications of dynamical systems in biology and medicine

Biomathematics Medicine Molecular dynamics sähkökirjat
Springer
2015
EISBN 9781493927821
Anti-Cancer Drug Resistance: A Pre-existing or Emerging Phenomenon?.
Modeling Fluid Flow Induced by Bacterial Carpets.
Modeling Auto regulation in the Kidney.
Modeling Anti-coagulation Therapy.
Mathematical Modeling of Evolutionary Diversification.
Intermittent Preventative Treatment (IPT) and the Spread of Drug Resistance to Malaria.
Stochastic Modeling of the Phototransduction Cascade for Melanopsin.
Clustering in Inhibitory Neural Networks with Nearest Neighbor Coupling.
Modeling the Dynamics of REM Sleep.
This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control. Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction. Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation. .
Modeling Fluid Flow Induced by Bacterial Carpets.
Modeling Auto regulation in the Kidney.
Modeling Anti-coagulation Therapy.
Mathematical Modeling of Evolutionary Diversification.
Intermittent Preventative Treatment (IPT) and the Spread of Drug Resistance to Malaria.
Stochastic Modeling of the Phototransduction Cascade for Melanopsin.
Clustering in Inhibitory Neural Networks with Nearest Neighbor Coupling.
Modeling the Dynamics of REM Sleep.
This volume highlights problems from a range of biological and medical applications that can be interpreted as questions about system behavior or control. Topics include drug resistance in cancer and malaria, biological fluid dynamics, auto-regulation in the kidney, anti-coagulation therapy, evolutionary diversification and photo-transduction. Mathematical techniques used to describe and investigate these biological and medical problems include ordinary, partial and stochastic differentiation equations, hybrid discrete-continuous approaches, as well as 2 and 3D numerical simulation. .
