Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
Pub Date : 2025-07-01DOI: 10.1016/j.comtox.2025.100365Jonathan T. Wall , Risa R. Sayre , Doris Smith , Samuel Winter , Maxwell Groover , Jasmine Hope , Adriana Webb , Katie Paul Friedman , Madison Feshuk , Antony J. Williams , Charles Lowe , Nisha S. Sipes , Jason Lambert , Jennifer H. Olker , Russell S. Thomas , Colleen Elonen , Richard S. Judson , Chelsea A. Weitekamp
Pub Date : 2025-06-25DOI: 10.1016/j.comtox.2025.100364Candice Johnson , Sue Marty , Marlene Kim , Kevin Crofton , Alessandra Roncaglioni , Arianna Bassan , Tara Barton-Maclaren , Ana Domingues , Markus Frericks , Agnes Karmaus , Sunil Kulkarni , Elena Lo Piparo , Stephanie Melching-Kollmuss , Ray Tice , David Woolley , Kevin Cross