Artificial neural network-based pharmacodynamic population analysis in chronic renal failure

An artificial neural network (ANN)-based approach to pharmacodynamic population analysis presented. In pursuit of an optimal and cost-effective strategy for drug dosing in patients with renal failure, an ANN is applied to perform drug-dose-effect modeling. Such a model allows for versatile prediction of the response to the drug at the effect site and, subsequently, for adjusting the dosing regimen.