Machine learning to identify key factors in titanium dioxide nanoparticle genotoxicity; a work in progress
A recent study applied machine learning to investigate which physicochemical and experimental factors were most involved in genotoxicity of titanium dioxide (TiO2). The findings confirmed that exposure concentration, cell medium composition, and lysis temperature in the comet assay correlate with DNA damage. The identified correlations could provide valuable insights for standardizing this test. However, the study methods and findings are too limited to identify new parameters involved in genotoxicity. Also, the scope was not aimed at providing evidence on the genotoxicity of TiO2, and therefore the study has no direct relevance for the discussion on the carcinogenicity classification of TiO2 nanomaterials.