Innovative Technology to Develop Chemical Data While Minimizing Animal Testing
New and existing chemical substances are often lacking in health and physical endpoint data. There is a need to develop chemical data while minimizing animal testing, in an efficient cost-effective manner. To overcome this challenge, UL employs innovative technology to interface to and from predictive toxicology/property tools to allow for automated data gap filling of chemical hazard endpoints.
Predictive Toxicology Launch
This interface capability can provide for efficient automated solutions to improve Pre-Manufacture Notification (PMN) submissions, as well as to inform chemical alternatives assessments. Further, UL is currently involved in a groundbreaking innovative collaboration with toxicologists and researchers from John’s Hopkins University in development of a predictive toxicology tool utilizing a read-across approach based upon a foundation of extensive chemical data, which is scheduled to launch in the first quarter of 2017.