View in EDS

Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.

Saved in:
Bibliographic Details
Title: Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
Authors: Xu L; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA., Kefella Y; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Zhang Y; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA., Conrad RD; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Anderson KE; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Krysan K; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.; Jonsson Comprehensive Cancer Center at UCLA, Los Angeles, CA, USA., Liu G; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Kane E; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Pennycuick A; Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK.; University College London Manchester Lung Cancer Centre of Excellence, London, UK., Merrick DT; Departement of Pathology, University of Colorado School of Medicine, Aurora, CO, USA., Janes SM; Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK.; University College London Manchester Lung Cancer Centre of Excellence, London, UK., Reid ME; Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA., Burks EJ; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA., Billatos E; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Mazzilli SA; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA., Kolachalama VB; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.; Department of Computer Science, College of Arts & Sciences, Boston University, Boston, MA, USA., Beane JE; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA. jbeane@bu.edu.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA. jbeane@bu.edu.
Source: Genome medicine [Genome Med] 2026 Apr 08; Vol. 18 (1). Date of Electronic Publication: 2026 Apr 08.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101475844 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-994X (Electronic) Linking ISSN: 1756994X NLM ISO Abbreviation: Genome Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41952176
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kefella+Y%22">Kefella Y</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Conrad+RD%22">Conrad RD</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Anderson+KE%22">Anderson KE</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Krysan+K%22">Krysan K</searchLink>; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.; Jonsson Comprehensive Cancer Center at UCLA, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Kane+E%22">Kane E</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Pennycuick+A%22">Pennycuick A</searchLink>; Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK.; University College London Manchester Lung Cancer Centre of Excellence, London, UK.<br /><searchLink fieldCode="AU" term="%22Merrick+DT%22">Merrick DT</searchLink>; Departement of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.<br /><searchLink fieldCode="AU" term="%22Janes+SM%22">Janes SM</searchLink>; Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK.; University College London Manchester Lung Cancer Centre of Excellence, London, UK.<br /><searchLink fieldCode="AU" term="%22Reid+ME%22">Reid ME</searchLink>; Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.<br /><searchLink fieldCode="AU" term="%22Burks+EJ%22">Burks EJ</searchLink>; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Billatos+E%22">Billatos E</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Mazzilli+SA%22">Mazzilli SA</searchLink>; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.<br /><searchLink fieldCode="AU" term="%22Kolachalama+VB%22">Kolachalama VB</searchLink>; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA.; Department of Computer Science, College of Arts & Sciences, Boston University, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Beane+JE%22">Beane JE</searchLink>; Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA. jbeane@bu.edu.; Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, 72 E. Concord Street, Boston, MA, 02118, USA. jbeane@bu.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101475844%22">Genome medicine</searchLink> [Genome Med] 2026 Apr 08; Vol. 18 (1). <i>Date of Electronic Publication: </i>2026 Apr 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>101475844 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1756-994X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221756994X%22">1756994X </searchLink><i>NLM ISO Abbreviation: </i>Genome Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41952176
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s13073-026-01636-8
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xu L
      – PersonEntity:
          Name:
            NameFull: Kefella Y
      – PersonEntity:
          Name:
            NameFull: Zhang Y
      – PersonEntity:
          Name:
            NameFull: Conrad RD
      – PersonEntity:
          Name:
            NameFull: Anderson KE
      – PersonEntity:
          Name:
            NameFull: Krysan K
      – PersonEntity:
          Name:
            NameFull: Liu G
      – PersonEntity:
          Name:
            NameFull: Kane E
      – PersonEntity:
          Name:
            NameFull: Pennycuick A
      – PersonEntity:
          Name:
            NameFull: Merrick DT
      – PersonEntity:
          Name:
            NameFull: Janes SM
      – PersonEntity:
          Name:
            NameFull: Reid ME
      – PersonEntity:
          Name:
            NameFull: Burks EJ
      – PersonEntity:
          Name:
            NameFull: Billatos E
      – PersonEntity:
          Name:
            NameFull: Mazzilli SA
      – PersonEntity:
          Name:
            NameFull: Kolachalama VB
      – PersonEntity:
          Name:
            NameFull: Beane JE
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 08
              M: 04
              Text: 2026 Apr 08
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1756-994X
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Genome medicine
              Type: main
ResultId 1