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NC3Rs | 20 Years: Pioneering Better Science

Machine-learning aided multiscale modelling framework for toxicological endpoint predictions in the dog


Registration Details

Event date and time
Dr Kate Harris
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This webinar, co-hosted by the NC3Rs and the Health and Environmental Sciences Institute (HESI), will showcase the ‘Virtual Second Species’ project supported through our CRACK IT Challenges innovation programme. 

The Virtual Second Species Challenge is exploiting advances in computational approaches and machine learning to develop a 'Virtual Dog' to ultimately replace their use for chronic toxicity studies. The Challenge is sponsored by seven pharmaceutical industry Sponsors from the UK, mainland Europe and North America. It builds on work from the NC3Rs toxicology programme that, in collaboration with over 30 pharmaceutical companies and regulatory bodies, analysed the use of two species in regulatory toxicology and identified opportunities to use a single species for certain drug modalities.

The project overview will be provided by Drs Stephan Schaller and Mark Davies from ESQlabs GmbH who were awarded the £1.6M contract to deliver this CRACK IT Challenge.


Time Session
14.00 Introduction
Michelle Embry, HESI
14.05 Overview of the NC3Rs CRACK IT Programme
Kate Harris, NC3Rs
14.15 Machine-Learning Aided Multi-Scale Modelling Framework for Toxicological Endpoint Predictions in the Dog
Stephan Schaller and Mark Davies, ESQlabs GmbH
14.50 Q&A 
15.00 Adjourn

The webinar is aimed particularly at researchers from across academia and industry and regulatory scientists keen to learn more about the potential of machine learning approaches to support chemical safety testing across sectors.

The webinar is free to attend, but registration is essential.