Environmental Science & Technology, volume 57, issue 46, pages 18259-18270

Potential for Machine Learning to Address Data Gaps in Human Toxicity and Ecotoxicity Characterization

Kerstin von Borries ¹

Hanna Holmquist ²

Marissa Kosnik ¹

Katie V. Beckwith ³

Olivier Jolliet ¹

Jonathan Goodman ³

Peter Fantke ¹

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Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet 115, 2800 Kgs. Lyngby, Denmark |

IVL Swedish Environmental Research Institute, Aschebergsgatan 44, 411 33 Göteborg, Sweden |

Centre for Molecular Informatics, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom |

Publication type: Journal Article

Publication date: 2023-11-01

American Chemical Society (ACS)

Journal: Environmental Science & Technology

scimago Q1

SJR: 3.516

CiteScore: 17.5

Impact factor: 10.8

ISSN: 0013936X, 15205851

DOI: 10.1021/acs.est.3c05300

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PubMed ID: 37914529

General Chemistry

Environmental Chemistry

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