AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.
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| Title: | AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse. |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41056361 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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