Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer.
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| Title: | Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. |
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| Authors: | Reitsam NG; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany. nic.reitsam@uka-science.de.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany. nic.reitsam@uka-science.de.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. nic.reitsam@uka-science.de., Grosser B; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany., Steiner DF; Google Health, Google LLC, Palo Alto, CA, USA., Grozdanov V; Department of Neurology, Ulm University, Ulm, Germany., Wulczyn E; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany., L'Imperio V; Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) Fondazione San Gerardo dei Tintori, Monza, Italy., Plass M; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria., Müller H; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria., Zatloukal K; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria., Muti HS; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany., Kather JN; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.; Department of Medicine I, University Hospital Dresden, Dresden, Germany.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany., Märkl B; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany. |
| Source: | Communications medicine [Commun Med (Lond)] 2024 Aug 15; Vol. 4 (1), pp. 163. Date of Electronic Publication: 2024 Aug 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39147895 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Reitsam+NG%22">Reitsam NG</searchLink>; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany. nic.reitsam@uka-science.de.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany. nic.reitsam@uka-science.de.; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany. nic.reitsam@uka-science.de.<br /><searchLink fieldCode="AU" term="%22Grosser+B%22">Grosser B</searchLink>; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany.<br /><searchLink fieldCode="AU" term="%22Steiner+DF%22">Steiner DF</searchLink>; Google Health, Google LLC, Palo Alto, CA, USA.<br /><searchLink fieldCode="AU" term="%22Grozdanov+V%22">Grozdanov V</searchLink>; Department of Neurology, Ulm University, Ulm, Germany.<br /><searchLink fieldCode="AU" term="%22Wulczyn+E%22">Wulczyn E</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22L'Imperio+V%22">L'Imperio V</searchLink>; Department of Medicine and Surgery, Pathology, University of Milano-Bicocca, IRCCS (Scientific Institute for Research, Hospitalization and Healthcare) Fondazione San Gerardo dei Tintori, Monza, Italy.<br /><searchLink fieldCode="AU" term="%22Plass+M%22">Plass M</searchLink>; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Müller+H%22">Müller H</searchLink>; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Zatloukal+K%22">Zatloukal K</searchLink>; Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Muti+HS%22">Muti HS</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germany.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.; Department of Medicine I, University Hospital Dresden, Dresden, Germany.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.<br /><searchLink fieldCode="AU" term="%22Märkl+B%22">Märkl B</searchLink>; Pathology, Medical Faculty, University of Augsburg, Augsburg, Germany.; Bavarian Cancer Research Center (BZKF), Augsburg, Germany. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918250414506676%22">Communications medicine</searchLink> [Commun Med (Lond)] 2024 Aug 15; Vol. 4 (1), pp. 163. <i>Date of Electronic Publication: </i>2024 Aug 15. – 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="%22Nature+Portfolio%22">Nature Portfolio </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918250414506676 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2730-664X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222730664X%22">2730664X </searchLink><i>NLM ISO Abbreviation: </i>Commun Med (Lond) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39147895 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s43856-024-00589-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 163 Titles: – TitleFull: Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reitsam NG – PersonEntity: Name: NameFull: Grosser B – PersonEntity: Name: NameFull: Steiner DF – PersonEntity: Name: NameFull: Grozdanov V – PersonEntity: Name: NameFull: Wulczyn E – PersonEntity: Name: NameFull: L'Imperio V – PersonEntity: Name: NameFull: Plass M – PersonEntity: Name: NameFull: Müller H – PersonEntity: Name: NameFull: Zatloukal K – PersonEntity: Name: NameFull: Muti HS – PersonEntity: Name: NameFull: Kather JN – PersonEntity: Name: NameFull: Märkl B IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: 2024 Aug 15 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2730-664X Numbering: – Type: volume Value: 4 – Type: issue Value: 1 Titles: – TitleFull: Communications medicine Type: main |
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