Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity.

Balraadjsing, SurendraPeijnenburg, Willie J G MVijver, Martina G2022-08-152022-08-152022-08-093596145310.1016/j.chemosphere.2022.135930http://hdl.handle.net/10029/626022enCopyright © 2022. Published by Elsevier Ltd.EcotoxicityIn silico modelsIn vivoMachine learningMetallic nanoparticlesScreening risk assessmentExploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity.Article1879-1298Chemosphere 2022;135930