Industry News

New Study Enhances Non-Animal Safety Assessment

‘This innovation strengthens how RIFM evaluates chemicals,’ says RIFM Senior Associate Scientist Jake Muldoon.

A recent study published open-source in Computational Toxicology advances a signature-based method for grouping chemicals and enhances non-animal safety assessment and broader chemical evaluation applications.

The survey presents a transparent, reproducible system that encodes chemical structural features into standardized signature trees to create structure–activity groups (SAGs), per the Research Institute for Fragrance Materials.

“This innovation strengthens how RIFM evaluates chemicals,” said Jake Muldoon, PhD, RIFM senior associate scientist for chemistry and study lead author. “Because the approach is grounded in chemical structure and intrinsic hazard, not risk or exposure, it provides a robust foundation for hazard-based read-across. It supports non-animal safety assessment and facilitates predictive toxicology, read-across, chemical prioritization, and data-driven analysis for thousands of substances.”

Watch: How Smarter Ingredient Grouping Helps Keep Fragranced Products Safe

Add us as a preferred source on Google

Get the latest Happi news, insights and analysis in your Google Search and AI experiences.

Keep Up With Our Content. Subscribe To Happi Newsletters