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Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine Learning
2020
International Journal of Molecular Sciences
The practice of non-testing approaches in nanoparticles hazard assessment is necessary to identify and classify potential risks in a cost effective and timely manner. Machine learning techniques have been applied in the field of nanotoxicology with encouraging results. A neurotoxicity classification model for diverse nanoparticles is presented in this study. A data set created from multiple literature sources consisting of nanoparticles physicochemical properties, exposure conditions and in
doi:10.3390/ijms21155280
pmid:32722414
fatcat:qqbht3m75vachoklz4xs2x5l7a