AI-driven discovery of novel extracellular matrix biomarkers in pelvic organ prolapse.
Saved in:
| 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.
Login for full access.
|
|
| ISSN: | 1553-7358 |
|---|---|
| DOI: | 10.1371/journal.pcbi.1013483 |
