Machine learning-integrated omics for the risk and safety assessment of nanomaterials

Omics data processed by machine learning algorithms to characterize endotypes for the autonomous comparison of safety and risk assessment of nanomaterials for preclinical safety assessment and post-marketing vigilance and decision making.