Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.
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| Title: | Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types. |
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| Authors: | Loeffler CML; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine I, Faculty of Medicine Carl Gustav Carus, University Hospitaland, Technische Universität Dresden , Dresden, Germany., El Nahhas OSM; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Muti HS; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department for Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Seibel T; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., van Treeck M; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Cifci D; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany., Gustav M; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Bretz K; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany., Gaisa NT; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Joint Research Center Computational Biomedicine, University Hospital RWTH Aachen, Aachen, Germany., Lehmann KV; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Joint Research Center Computational Biomedicine, University Hospital RWTH Aachen, Aachen, Germany.; Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf (CIO ABCD), Duesseldorf, Germany.; Cancer Research Center Cologne-Essen, University Hospital Cologne, Cologne, Germany., Leary A; Gynecological Cancer Unit, Department of Medicine, Institut Gustave Roussy, Villejuif, France., Selenica P; Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Reis-Filho JS; Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Ortiz-Bruechle N; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf (CIO ABCD), Duesseldorf, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Department of Medicine I, Faculty of Medicine Carl Gustav Carus, University Hospitaland, Technische Universität Dresden , Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob-nikolas.kather@alumni.dkfz.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de. |
| Source: | BMC biology [BMC Biol] 2024 Oct 08; Vol. 22 (1), pp. 225. Date of Electronic Publication: 2024 Oct 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007 (Electronic) Linking ISSN: 17417007 NLM ISO Abbreviation: BMC Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39379982 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Loeffler+CML%22">Loeffler CML</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department of Medicine I, Faculty of Medicine Carl Gustav Carus, University Hospitaland, Technische Universität Dresden , Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22El+Nahhas+OSM%22">El Nahhas OSM</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Muti+HS%22">Muti HS</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.; Department for Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Carrero+ZI%22">Carrero ZI</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Seibel+T%22">Seibel T</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22van+Treeck+M%22">van Treeck M</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Cifci+D%22">Cifci D</searchLink>; Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Gustav+M%22">Gustav M</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Bretz+K%22">Bretz K</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Gaisa+NT%22">Gaisa NT</searchLink>; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Joint Research Center Computational Biomedicine, University Hospital RWTH Aachen, Aachen, Germany.<br /><searchLink fieldCode="AU" term="%22Lehmann+KV%22">Lehmann KV</searchLink>; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Joint Research Center Computational Biomedicine, University Hospital RWTH Aachen, Aachen, Germany.; Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf (CIO ABCD), Duesseldorf, Germany.; Cancer Research Center Cologne-Essen, University Hospital Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Leary+A%22">Leary A</searchLink>; Gynecological Cancer Unit, Department of Medicine, Institut Gustave Roussy, Villejuif, France.<br /><searchLink fieldCode="AU" term="%22Selenica+P%22">Selenica P</searchLink>; Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Reis-Filho+JS%22">Reis-Filho JS</searchLink>; Experimental Pathology, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Ortiz-Bruechle+N%22">Ortiz-Bruechle N</searchLink>; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.; Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf (CIO ABCD), Duesseldorf, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Department of Medicine I, Faculty of Medicine Carl Gustav Carus, University Hospitaland, Technische Universität Dresden , Dresden, Germany. jakob-nikolas.kather@alumni.dkfz.de.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. jakob-nikolas.kather@alumni.dkfz.de.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. jakob-nikolas.kather@alumni.dkfz.de. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101190720%22">BMC biology</searchLink> [BMC Biol] 2024 Oct 08; Vol. 22 (1), pp. 225. <i>Date of Electronic Publication: </i>2024 Oct 08. – 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>101190720 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-7007 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217417007%22">17417007 </searchLink><i>NLM ISO Abbreviation: </i>BMC Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39379982 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12915-024-02022-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 225 Titles: – TitleFull: Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Loeffler CML – PersonEntity: Name: NameFull: El Nahhas OSM – PersonEntity: Name: NameFull: Muti HS – PersonEntity: Name: NameFull: Carrero ZI – PersonEntity: Name: NameFull: Seibel T – PersonEntity: Name: NameFull: van Treeck M – PersonEntity: Name: NameFull: Cifci D – PersonEntity: Name: NameFull: Gustav M – PersonEntity: Name: NameFull: Bretz K – PersonEntity: Name: NameFull: Gaisa NT – PersonEntity: Name: NameFull: Lehmann KV – PersonEntity: Name: NameFull: Leary A – PersonEntity: Name: NameFull: Selenica P – PersonEntity: Name: NameFull: Reis-Filho JS – PersonEntity: Name: NameFull: Ortiz-Bruechle N – PersonEntity: Name: NameFull: Kather JN IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 10 Text: 2024 Oct 08 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1741-7007 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: BMC biology Type: main |
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