Due to the wide use and key importance of mathematical models in process engineering,
experiment design is becoming an essential tool for the rapid building and validation of …

This article provides an overview of principles and barriers relevant to intracellular drug and
gene transport, accumulation and retention (collectively called as drug delivery) by means of …

Background We consider the problem of parameter estimation (model calibration) in
nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and …

Optimization aims to make a system or design as effective or functional as possible.
Mathematical optimization methods are widely used in engineering, economics and science …

Experimental design has a long tradition in statistics, engineering and life sciences, dating
back to the beginning of the last century when optimal designs for industrial and agricultural …

Bayesian methods are valuable, inter alia, whenever there is a need to extract information
from data that are uncertain or subject to any kind of error or noise (including measurement …

Abstract Systems biology applies quantitative, mechanistic modelling to study genetic
networks, signal transduction pathways and metabolic networks. Mathematical models of …

Background Mathematical models provide abstract representations of the information
gained from experimental observations on the structure and function of a particular …