Adverse outcome pathway-informed machine learning for predicting vascular toxicity of emerging organic pollutants.
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| Title: | Adverse outcome pathway-informed machine learning for predicting vascular toxicity of emerging organic pollutants. |
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| Authors: | Siewetcheu Toukak A; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn., Gao W; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn., Wan S; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn., Li N; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn., Chen G; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.; School of Ecology and Environment, Xizang University, Lhasa 850000, China. |
| Source: | Environmental science. Processes & impacts [Environ Sci Process Impacts] 2026 May 01; Vol. 28 (4), pp. 1064-1080. Date of Electronic Publication: 2026 May 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101601576 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-7895 (Electronic) Linking ISSN: 20507887 NLM ISO Abbreviation: Environ Sci Process Impacts Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41789594 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Adverse outcome pathway-informed machine learning for predicting vascular toxicity of emerging organic pollutants. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Siewetcheu+Toukak+A%22">Siewetcheu Toukak A</searchLink>; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Gao+W%22">Gao W</searchLink>; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wan+S%22">Wan S</searchLink>; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Li+N%22">Li N</searchLink>; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Chen+G%22">Chen G</searchLink>; School of Environmental Science and Engineering, Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin University, Tianjin 300350, China. liningec@tju.edu.cn.; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China.; School of Ecology and Environment, Xizang University, Lhasa 850000, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101601576%22">Environmental science. Processes & impacts</searchLink> [Environ Sci Process Impacts] 2026 May 01; Vol. 28 (4), pp. 1064-1080. <i>Date of Electronic Publication: </i>2026 May 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Royal+Society+of+Chemistry%22">Royal Society of Chemistry </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101601576 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2050-7895 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220507887%22">20507887 </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Process Impacts <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41789594 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1039/d5em00562k Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1064 Titles: – TitleFull: Adverse outcome pathway-informed machine learning for predicting vascular toxicity of emerging organic pollutants. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Siewetcheu Toukak A – PersonEntity: Name: NameFull: Gao W – PersonEntity: Name: NameFull: Wan S – PersonEntity: Name: NameFull: Li N – PersonEntity: Name: NameFull: Chen G IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2050-7895 Numbering: – Type: volume Value: 28 – Type: issue Value: 4 Titles: – TitleFull: Environmental science. Processes & impacts Type: main |
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