Machine learning in silico models in chemical hazard identification

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Original language	English
Journal	Toxicology Letters
Volume	350
Issue number	Supplement
Pages (from-to)	S18-S18
ISSN	0378-4274
DOIs	https://doi.org/10.1016/S0378-4274(21)00275-7
Publication status	Published - 2021
Event	56th Congress of the European Societies of Toxicology: Toxicology of the next generation - Virtual event Duration: 27 Sept 2021 → 1 Oct 2021 Conference number: 56 http://www.eurotox2021.com/ https://www.eurotox2021.com/

Conference	56th Congress of the European Societies of Toxicology
Number	56
Location	Virtual event
Period	27/09/2021 → 01/10/2021
Internet address	http://www.eurotox2021.com/ https://www.eurotox2021.com/

Access to Document

@article{a803a18447744a6c93462e63e33b9de7,

title = "Machine learning in silico models in chemical hazard identification",

author = "Wedebye, \{E. B.\} and Nikolov, \{N. G.\}",

year = "2021",

doi = "10.1016/S0378-4274(21)00275-7",

language = "English",

volume = "350",

pages = "S18--S18",

journal = "Toxicology Letters",

issn = "0378-4274",

publisher = "Elsevier Ireland Ltd",

number = "Supplement",

note = "56th Congress of the European Societies of Toxicology, EuroTox2021 ; Conference date: 27-09-2021 Through 01-10-2021",

url = "http://www.eurotox2021.com/, https://www.eurotox2021.com/",

}

TY - ABST

T1 - Machine learning in silico models in chemical hazard identification

AU - Wedebye, E. B.

AU - Nikolov, N. G.

N1 - Conference code: 56

PY - 2021

Y1 - 2021

U2 - 10.1016/S0378-4274(21)00275-7

DO - 10.1016/S0378-4274(21)00275-7

M3 - Conference abstract in journal

SN - 0378-4274

VL - 350

SP - S18-S18

JO - Toxicology Letters

JF - Toxicology Letters

IS - Supplement

T2 - 56th Congress of the European Societies of Toxicology

Y2 - 27 September 2021 through 1 October 2021

ER -