Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays.
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| Title: | Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays. |
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| Authors: | Doig KD; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. ken.doig@petermac.org.; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. ken.doig@petermac.org.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia. ken.doig@petermac.org., Perera R; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia., Kankanige Y; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia., Fellowes A; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia., Li J; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia., Lupat R; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia., Thompson ER; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia., Blombery P; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia., Fox SB; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.; Department of Pathology, University of Melbourne, Melbourne , Australia. |
| Source: | BioData mining [BioData Min] 2025 Oct 29; Vol. 18 (1), pp. 74. Date of Electronic Publication: 2025 Oct 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41163022 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Doig+KD%22">Doig KD</searchLink>; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. ken.doig@petermac.org.; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. ken.doig@petermac.org.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia. ken.doig@petermac.org.<br /><searchLink fieldCode="AU" term="%22Perera+R%22">Perera R</searchLink>; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Kankanige+Y%22">Kankanige Y</searchLink>; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Fellowes+A%22">Fellowes A</searchLink>; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Lupat+R%22">Lupat R</searchLink>; Research Division, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Thompson+ER%22">Thompson ER</searchLink>; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Blombery+P%22">Blombery P</searchLink>; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Fox+SB%22">Fox SB</searchLink>; Department of Pathology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.; Department of Pathology, University of Melbourne, Melbourne , Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101319161%22">BioData mining</searchLink> [BioData Min] 2025 Oct 29; Vol. 18 (1), pp. 74. <i>Date of Electronic Publication: </i>2025 Oct 29. – 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="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101319161 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1756-0381 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217560381%22">17560381 </searchLink><i>NLM ISO Abbreviation: </i>BioData Min <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41163022 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13040-025-00489-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 74 Titles: – TitleFull: Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Doig KD – PersonEntity: Name: NameFull: Perera R – PersonEntity: Name: NameFull: Kankanige Y – PersonEntity: Name: NameFull: Fellowes A – PersonEntity: Name: NameFull: Li J – PersonEntity: Name: NameFull: Lupat R – PersonEntity: Name: NameFull: Thompson ER – PersonEntity: Name: NameFull: Blombery P – PersonEntity: Name: NameFull: Fox SB IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 10 Text: 2025 Oct 29 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1756-0381 Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: BioData mining Type: main |
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