Hazard classification uses

GHS Hazard Classifications generated by the UL Cheminformatics Tool Kit can be used for a number of purposes, including:

Chemical Registration Submissions
Facilitating chemical assessments while reducing animal testing, this objective computational approach provides valuable data to support chemical registration hazard information requirements. This is particularly helpful when you have data gaps that need to be filled in order to construct a robust submission.




Green Chemistry and Alternatives Assessments
Proactively assess potential chemical hazards upfront early in the product development process to design chemistries with inherently less hazards and to inform commercialization decisions. When evaluating candidate alternative chemicals, gain valuable information and insight to avoid “regrettable substitutions”.




Research Safety Data Sheets (R-SDS)
For new research chemicals with no or very little data, and even for existing chemicals in use with hazard data gaps, it is challenging to characterize hazards to support proper hazard communication in the absence of animal test data. UL’s Cheminformatics Tool Kit will enable manufacturers and formulators to efficiently and accurately assess the hazards of chemicals and create robust SDS’, labels, and relevant transportation, hygiene, and laboratory safety information.




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Additional resources


UL Cheminformatics Tool Kit Webinar

This webinar discusses how machine learning of toxicological big data for Read-Across Structural Activity Relationships (RASAR) can be used to develop chemical hazard data.

View Webinar

Acute Oral Toxicity Article

Analysis of Public Oral Toxicity Data from REACH Registrations 2008-2014

Acute oral toxicity data is a key component of classification and labeling as well as hazard assessment for industrial substances and is a requirement in diverse regulatory testing regimes.

Download Research Article

Skin Sensitization Article

Analysis of Publically Available Skin Sensitization Data from REACH Registrations 2008-2014

This analysis scopes the landscape of chemical skin sensitization, demonstrating the value of large public datasets for health hazard prediction.

Download Research Article

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