Parameter estimation of pharmacokinetics models in the presence of timing noise

Abstract

The problem addressed in this paper deals with the parameter estimation of in vitro uptake kinetics of drugs into living cells in presence of timing noise. Effects of the timing noise on the bias and variance of the output error are explicitly determined. A bounded-error parameter estimation approach is proposed as a suited solution to handle this problem. Application results are presented and emphasize its effectiveness in such an experimental framework.

A Model-Based Pharmacokinetics Characterization Method of Engineered Nanoparticles for Pilot Studies

“…The determination of a parametric model describing the uptake kinetics of photosensitizing agents into living cells by extracting information from observations of input and output signals is a system identification problem [12], [13]. Several papers have reported successful applications of system identification techniques to pharmacokinetics modeling problems [14]- [23]. But till now, no such a data-driven modeling approach has been used to characterize the in vivo pharmacokinetics of engineered nanoparticles.…”