Webinar and video
Artificial intelligence in safety assessment: Perspectives for the future
Artificial Intelligance (AI) is developing rapidly and opening new opportunities to replace animal use in safety assessment. This webinar, jointly hosted by the NC3Rs NAMs Network and the British Toxicology Society Mechanistic & Discovery Toxicology Specialty Section, brought together three experts to explore how AI and approaches such as machine learning can be used to improve toxicity prediction, support regulatory science and reduce the reliance on animal use.
Speakers and topics
- The future of artificial intelligence in human safety assessment.
Dr Darren Green, DesignPlus Cheminformatics Consultants. - Machine learning for toxicity prediction using chemical structures: Pillars for success in the real world.
Dr Srijit Seal, Broad Institute of MIT and Harvard/University of Cambridge. - Overview of 2025 HESI Workshop: Building a roadmap for AI-enabled human and environmental health protection.
Dr Michelle Embry, HESI.
Webinar recording
Further resources
We have supported the development of a number of computational, AI- or machine learning-based approaches for toxicology and safety assessment through our research funding schemes and CRACK IT innovation programme.
NC3Rs-funded research and innovation projects
- Predicting oral bioavailability and performance of new drugs using AI-PAT.
- High fidelity computational approaches to predict whether a compound will impact cardiac ion channel function.
- Using machine learning to predict tumourigenicity and improve the safety assessment of cell therapies.
- Machine-learning aided multiscale modelling framework for toxicological endpoint predictions in the dog.