Revolutionising Chemical Safety: How AI Could Replace Animal Testing
Modern life exposes us to a staggering array of synthetic substances—over 350,000 chemicals are registered for use worldwide, found in products as diverse as pesticides, plastics, cosmetics, and pharmaceuticals. Ensuring the safety of all these compounds is a daunting task. Researchers led by Prof Jinhee Choi at University of Seoul are developing cutting-edge artificial intelligence models to predict the potential dangers toxicity of chemicals, with the aim of reducing the need for controversial animal experiments. By analysing vast toxicology databases and pioneering new AI techniques, Prof Choi’s team is working towards a future where the safety of everything from industrial compounds to household products can be assessed more quickly, cheaply, and humanely.
Authors
- Jinhee Choi (ORCID: https://orcid.org/0000-0003-3393-7505)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.33548/scientia1231
- Primary Topic
- Animal testing and alternatives
- Type
- article
- Field-Weighted Citation Impact
- 0.00