View in EDS

Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.

Saved in:
Bibliographic Details
Title: Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.
Authors: Meng R; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520., Zhu W; Department of Computer Sciences, Yale University, New Haven, CT 06520., Cameron CJF; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520., Ni P; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520., Zhou X; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520., Ulammandakh T; Department of Computer Sciences, Yale University, New Haven, CT 06520., Gerstein MB; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.; Department of Computer Sciences, Yale University, New Haven, CT 06520.; Department of Statistics and Data Science, Yale University, New Haven, CT 06520.; Department of Biomedical Informatics and Data Science, Yale University, New Haven, CT 06520.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2025 Nov 18; Vol. 122 (46), pp. e2423469122. Date of Electronic Publication: 2025 Nov 11.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41218125
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Meng+R%22">Meng R</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Zhu+W%22">Zhu W</searchLink>; Department of Computer Sciences, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Cameron+CJF%22">Cameron CJF</searchLink>; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.; Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Ni+P%22">Ni P</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Ulammandakh+T%22">Ulammandakh T</searchLink>; Department of Computer Sciences, Yale University, New Haven, CT 06520.<br /><searchLink fieldCode="AU" term="%22Gerstein+MB%22">Gerstein MB</searchLink>; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520.; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.; Department of Computer Sciences, Yale University, New Haven, CT 06520.; Department of Statistics and Data Science, Yale University, New Haven, CT 06520.; Department of Biomedical Informatics and Data Science, Yale University, New Haven, CT 06520.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227505876%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink> [Proc Natl Acad Sci U S A] 2025 Nov 18; Vol. 122 (46), pp. e2423469122. <i>Date of Electronic Publication: </i>2025 Nov 11.
– 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="%22National+Academy+of+Sciences%22">National Academy of Sciences </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7505876 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1091-6490 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278424%22">00278424 </searchLink><i>NLM ISO Abbreviation: </i>Proc Natl Acad Sci U S A <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41218125
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.2423469122
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e2423469122
    Titles:
      – TitleFull: Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Meng R
      – PersonEntity:
          Name:
            NameFull: Zhu W
      – PersonEntity:
          Name:
            NameFull: Cameron CJF
      – PersonEntity:
          Name:
            NameFull: Ni P
      – PersonEntity:
          Name:
            NameFull: Zhou X
      – PersonEntity:
          Name:
            NameFull: Ulammandakh T
      – PersonEntity:
          Name:
            NameFull: Gerstein MB
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 18
              M: 11
              Text: 2025 Nov 18
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1091-6490
          Numbering:
            – Type: volume
              Value: 122
            – Type: issue
              Value: 46
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1