Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation.
Sign Up to like & getrecommendations! Published in 2023 at "Chemical reviews"
DOI: 10.1021/acs.chemrev.3c00070
Abstract: Decades of nanotoxicology research have generated extensive and diverse data sets. However, data is not equal to information. The question is how to extract critical information buried in vast data streams. Here we show that… read more here.
Keywords: information; artificial intelligence; nanotoxicity data; simulation ... See more keywords
What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps.
Sign Up to like & getrecommendations! Published in 2017 at "Nanoscale"
DOI: 10.1039/c7nr02211e
Abstract: Over the past decade, computational nanotoxicology, in particular Quantitative Structure-Activity Relationship models (Nano-QSAR) that help in assessing the biological effects of nanomaterials, have received much attention. In effect, a solid basis for uncovering the relationships… read more here.
Keywords: data small; number nanotoxicity; nano qsar; nanotoxicity data ... See more keywords