Parameter optimization of pharmacokinetics based on artificial immune network

Abstract

A new method for parameter optimization of pharmacokinetics based on an artificial immune network named PKAIN is proposed. To improve local searching ability of the artificial immune network, a partition-based concurrent simplex mutation is developed. By means of evolution of network cells in the PKAIN artificial immune network, an optimal set of parameters of a given pharmacokinetic model is obtained. The Laplace transform is applied to the pharmacokinetic differential equations of remifentanil and its major metabolite, remifentanil acid. The PKAIN method is used to optimize parameters of the derived compartment models. Experimental results show that the twocompartment model is sufficient for the pharmacokinetic study of remifentanil acid for patients with mild degree of renal impairment.

A Distributed Artificial Immune Network for Optimizing Tracer Kinetic Models with MATLAB Distributed Computing Engine

“…The evolution of the PKAIN artificial immune network is described as follows [14]. In the first step, the artificial immune network is initialized by randomly generating network cells in solution space.…”

“…The AIN algorithms have been successfully applied in multi-modal function optimization [2] and dynamic environment optimization [3]. In our previous work, a PKAIN algorithm has been proposed to optimize parameters of both linear and nonlinear pharmacokinetic compartmental models [14]. Compared with other artificial immune algorithms, the PKAIN is based on clonal selection evolution [1] and the simplex updates of the memory cells to implement optimization.…”

Numerical study of magnetic nanofluids flow in the round channel located in the constant magnetic field

“…One of the promising directions in the treatment of cancer may be the use of magnetic nanoparticles [1][2][3]. The essence of this approach is that the magnetic nanoparticles of sizes of 5-100 nm are injected into the bloodstream and concentrated in the tumor by an external magnetic field.…”

“…At present, the effectiveness of this approach has been confirmed by many experiments on animals and humans during the treatment of cancer. There are lots of works study of nanoparticles transport in the magnetic field in the channels [1][2][3][4]. There are so much unresolved problems and issues related to transfer mechanisms, concentration and heating of nanoparticles in fluids and tissues, and their control under the influence of external electromagnetic fields.…”

PKAIN: an artificial immune network for parameter optimization in pharmacokinetics

“…Therefore the optimisation process is the most fundamental and important task in establishing a robust pharmacokinetic model. In our previous work, parameters of a linear compartment model are optimized [5]. First, the Laplace transform is applied to the linear compartment model.…”