What is it about?
The first paper that shows how an artificial intelligence algorithms can be used to make accurate and quantitative predictions of possible adverse biological effects of nanomaterials
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Why is it important?
It was the first paper to show, for a large set of nanomaterials , that robust and predictive models of the biological effects of nanomaterials is possible, it was the first to employ sparse Bayesian neural networks.
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This page is a summary of: Modelling and predicting the biological effects of nanomaterials, SAR and QSAR in Environmental Research, February 2014, Taylor & Francis,
DOI: 10.1080/1062936x.2013.874367.
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