A computational workflow which integrates physiologically based kinetic (PBK) modeling,
global sensitivity analysis (GSA), approximate Bayesian computation (ABC), and Markov …

This paper outlines the work for which Roland Grafström and Pekka Kohonen were awarded
the 2014 Lush Science Prize. The research activities of the Grafström laboratory have, for …

The interest in food toxicology is evident by the dependency of humankind on nutrition by
virtue of their heterotrophic metabolism. By means of modern biochemistry, molecular and …

With the increasing application of cell culture models as primary tools for predicting chemical
safety, the quantitative extrapolation of the effective dose from in vitro to in vivo (QIVIVE) is of …

Introduction: Drugs can induce liver injury when taken as an over-dose, or even at
therapeutic doses in susceptible individuals. Although severe drug-induced liver injury (DILI) …

Background and aim: The integration of artificial intelligence (AI) is causing a significant
upheaval in the landscape of digital health. By utilizing AI, this development aims to improve …

As nanoparticles (NPs) can access the brain and impact on CNS function, novel in vitro
models for the evaluation of NPs‐induced neurotoxicity are advocated. Three‐dimensional …

High content screening enables parallel acquisition of multiple molecular and cellular
readouts. In particular the predictive toxicology field has progressed from the advances in …

The application of in silico methods is increasing on toxicological risk prediction for human
and environmental health. This work aimed to evaluate the performance of three in silico …

There is growing interest within regulatory agencies and toxicological research communities
to develop, test, and apply new approaches, such as toxicogenomics, to more efficiently …