Leveraging artificial intelligence to advance the understanding of chemical neurotoxicity

Neurotoxicology. 2021 Dec 27;89:9-11. doi: 10.1016/j.neuro.2021.12.007. Online ahead of print.ABSTRACTNeurotoxicology is a specialty that aims to understand and explain the impact of chemicals, xenobiotics and physical conditions on nervous system function throughout the life span. Herein, we point to the need for integration of novel translational bioinformatics and chemo-informatics approaches, such as machine learning (ML) and artificial intelligence (AI) to the discipline. Specifically, we advance the notion that AI and ML will be helpful in identifying neurotoxic signatures, provide reliable data in predicting neurotoxicity in the context of genetic variability, and improve the understanding of neurotoxic outcomes associated with exposures to mixtures, to name a few.PMID:34968636 | DOI:10.1016/j.neuro.2021.12.007

Source: Neurotoxicology - December 30, 2021 Category: Neurology Authors: Michael Aschner Robin Mesnage Anca Oana Docea Monica Maria Bastos Paoliello Aristides Tsatsakis Georgios Giannakakis Georgios Z Papadakis Silvio Roberto Vinceti Abel Santamaria Anatoly V Skalny Alexey A Tinkov Source Type: research