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Royal Society of Chemistry, Biomaterials Science, 5(9), p. 1598-1608, 2021

DOI: 10.1039/d0bm01672a

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Machine learning-integrated omics for the risk and safety assessment of nanomaterials

Journal article published in 2021 by Farooq Ahmad ORCID, Asif Mahmood ORCID, Tahir Muhmood ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Omics data processed by machine learning algorithms to characterize endotypes for the autonomous comparison of safety and risk assessment of nanomaterials for preclinical safety assessment and post-marketing vigilance and decision making.