Experts suggest new safety framework to boost predictability of CNS toxicity assessments

A recent paper outlines a safety framework intended to make central nervous system (CNS) toxicity predictions more reliable during drug development.

The authors argue that new approach methodologies, including in vitro models and computational tools, together with artificial intelligence, can better capture neurological risk signals than traditional animal studies.

By standardizing how these digital and non-clinical methods are applied, the framework aims to improve interpretation of toxicity data and reduce uncertainty for developers and regulators.