We discuss issues of structural and practical identifiability of partially observed differential
equations which are often applied in systems biology. The development of mathematical …

The term hybrid modeling refers to the combination of parametric models (typically derived
from knowledge about the system) and nonparametric models (typically deduced from data) …

A powerful way of gaining insight into biological systems is by creating a nonlinear
differential equation model, which usually contains many unknown parameters. Such a …

An increasing number of industrial bioprocesses capitalize on living cells by using them as
cell factories that convert sugars into chemicals. These processes range from the production …

Identifiability is a fundamental concept in parameter estimation, and therefore key to the
large majority of environmental modeling applications. Parameter identifiability analysis …

The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public
awareness and appreciation of the utility of dynamic models. At the same time, the …

Textile sensors transform our everyday clothing into a means to track movement and
biosignals in a completely unobtrusive way. One major hindrance to the adoption of “smart” …

Motivation: Modeling of dynamical systems using ordinary differential equations is a popular
approach in the field of Systems Biology. The amount of experimental data that are used to …

Observability is a modelling property that describes the possibility of inferring the internal
state of a system from observations of its output. A related property, structural identifiability …

Ordinary differential equation models are nowadays widely used for the mechanistic
description of biological processes and their temporal evolution. These models typically …