Database analysis more reliable than animal testing at predicting chemical toxicity in consumer products
Wednesday, July 11, 2018 - 09:00
in Health & Medicine
A study led by scientists at Johns Hopkins Bloomberg School of Public Health suggests that advanced algorithms working from large chemical databases can predict a new chemical’s toxicity better than standard animal tests. The computer-based approach could replace many animal tests commonly used during consumer product testing. It could also evaluate more chemicals than animal […]