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Modern pharmacology, combining pharmacokinetic, phar-macodynamic, and pharmacogenomic data, is dealing with high dimensional , nonlinear, stiff systems. Mathematical modeling of these systems is very difficult, but important for understanding them. At least as important is to adequately control them through inputs-drugs' dosage regimens. Genetic programming… (More)

Modeling neural networks with ordinary differential equations systems is a sensible approach, but also very difficult. This paper describes a new algorithm based on linear genetic programming which can be used to reverse engineer neural networks. The RODES algorithm automatically discovers the structure of the network, including neural connections, their… (More)

Abshacf-Pharmacogenomic systems (PG) are very high dimensional , nonlinear, and stiff systems. Mathematical modeling of these systems, as systems of nonlinear coupled ordinary differential equations (ODE), is considered important for understanding them; unfortunately, it is also a very difficult task. At least as important is to adequately control them… (More)

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