AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.

Saved in:
Bibliographic Details
Title: AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.
Authors: Mi Y; School of Computer Science and Information Technology, University College Cork, Cork, Ireland.; SFI Centre for Research Training in Artificial Intelligence, University College Cork, Cork, Ireland., Cahill B; School of Computer Science and Information Technology, University College Cork, Cork, Ireland., Yallapragada VVB; Centre for Advanced Photonics and Process Analytics, Munster Technological University, Cork, Ireland., Rotem R; Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland.; Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Hebrew University School of Medicine, Jerusalem, Israel., O'Reilly BA; Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland., Tabirca S; School of Computer Science and Information Technology, University College Cork, Cork, Ireland.; Faculty of Mathematics and Informatics, Transylvania University of Brasov, Brasov, Romania.
Source: PLoS computational biology [PLoS Comput Biol] 2025 Oct 07; Vol. 21 (10), pp. e1013483. Date of Electronic Publication: 2025 Oct 07 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41056361
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mi+Y%22">Mi Y</searchLink>; School of Computer Science and Information Technology, University College Cork, Cork, Ireland.; SFI Centre for Research Training in Artificial Intelligence, University College Cork, Cork, Ireland.<br /><searchLink fieldCode="AU" term="%22Cahill+B%22">Cahill B</searchLink>; School of Computer Science and Information Technology, University College Cork, Cork, Ireland.<br /><searchLink fieldCode="AU" term="%22Yallapragada+VVB%22">Yallapragada VVB</searchLink>; Centre for Advanced Photonics and Process Analytics, Munster Technological University, Cork, Ireland.<br /><searchLink fieldCode="AU" term="%22Rotem+R%22">Rotem R</searchLink>; Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland.; Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Hebrew University School of Medicine, Jerusalem, Israel.<br /><searchLink fieldCode="AU" term="%22O'Reilly+BA%22">O'Reilly BA</searchLink>; Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland.<br /><searchLink fieldCode="AU" term="%22Tabirca+S%22">Tabirca S</searchLink>; School of Computer Science and Information Technology, University College Cork, Cork, Ireland.; Faculty of Mathematics and Informatics, Transylvania University of Brasov, Brasov, Romania.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2025 Oct 07; Vol. 21 (10), pp. e1013483. <i>Date of Electronic Publication: </i>2025 Oct 07 (<i>Print Publication: </i>2025).
– 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="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41056361
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pcbi.1013483
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e1013483
    Titles:
      – TitleFull: AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mi Y
      – PersonEntity:
          Name:
            NameFull: Cahill B
      – PersonEntity:
          Name:
            NameFull: Yallapragada VVB
      – PersonEntity:
          Name:
            NameFull: Rotem R
      – PersonEntity:
          Name:
            NameFull: O'Reilly BA
      – PersonEntity:
          Name:
            NameFull: Tabirca S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 07
              M: 10
              Text: 2025 Oct 07
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1553-7358
          Numbering:
            – Type: volume
              Value: 21
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: PLoS computational biology
              Type: main
ResultId 1