Rather than extensive testing based on phenotypic responses in animals, there has been a growing shift toward exploiting mechanistically based approaches to underpin data-driven decision-making frameworks. With this shift (Q)SARs, read-across, in vitro tests, including high throughput and high content (HT/HC) screening methods, transcriptomic data, coupled with the application of a range of computational methods for data analysis and predictive modelling are more relevant than ever. This workshop aims to bring together scientists from around the world along with developers and users of predictive models and their underlying data (whether that be exposure data, non-targeted screening data, HTS, Httr or classical toxicity data), to foster discussion and debate around the practical implementation of these approaches.
Abstract submission now open! Deadline extended to January 24, 2020