SOC-VI-08 Physiological maps: a benchmark tool for adverse outcome pathways and a cornerstone for the development of disease ontologies

Staumont, Bernard; Maia Ladeira, Luiz Carlos; Gamba, Alessio; Lesage, R.; Verhoeven, A.; Jiang, J.; Ertvelde, J. van; Barnes, D.A.; Janssen, M.J.; Kuchovska, E.; Berkhout, J.; Roodzant, D.; Teunis, M.; Bozada, T.; Luechtefeld, T.H.; Jover, R.; Vanhaecke, T.; Vinken, M.; Masereeuw, R.; Fritsche, E.; Piersma, A.H.; Heusinkveld, H.J.; Geris, Liesbet

doi:10.1016/j.toxlet.2022.07.228

Paper published in a journal (Scientific congresses and symposiums)

SOC-VI-08 Physiological maps: a benchmark tool for adverse outcome pathways and a cornerstone for the development of disease ontologies

Staumont, Bernard; Maia Ladeira, Luiz Carlos; Gamba, Alessio et al.

2022 • In Toxicology Letters, 368, p. 77-S78

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/295759

DOI
10.1016/j.toxlet.2022.07.228

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Keywords :

Toxicology; General Medicine

Disciplines :

Life sciences: Multidisciplinary, general & others

Author, co-author :

Staumont, Bernard ; Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit

Maia Ladeira, Luiz Carlos ; Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit

Gamba, Alessio ; Université de Liège - ULiège > GIGA > GIGA In silico medecine - Biomechanics Research Unit

Lesage, R.

Verhoeven, A.

Jiang, J.

Ertvelde, J. van

Barnes, D.A.

Janssen, M.J.

Kuchovska, E.

More authors (13 more)

Language :

English

Title :

SOC-VI-08 Physiological maps: a benchmark tool for adverse outcome pathways and a cornerstone for the development of disease ontologies

Publication date :

September 2022

Event name :

16th International Congress of Toxicology (ICTXVI)

Event organizer :

IUTOX

Event place :

Maastricht, Netherlands

Event date :

18-21 September 2022

Audience :

International

Journal title :

Toxicology Letters

ISSN :

0378-4274

eISSN :

1879-3169

Publisher :

Elsevier BV

Volume :

368

Pages :

S77-S78

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0378427422012152?httpAccept=text/xml

European Projects :

H2020 - 963845 - ONTOX - Ontology-driven and artificial intelligence-based repeated dose toxicity testing of chemicals for next generation risk assessment

Funders :

EU - European Union [BE]

Funding number :

963845

Available on ORBi :

since 17 October 2022

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