Developing and validating a machine learning approach for prediction of euploid pregnancy loss in the Copenhagen pregnancy loss study.
Saved in:
| Title: | Developing and validating a machine learning approach for prediction of euploid pregnancy loss in the Copenhagen pregnancy loss study. |
|---|---|
| Authors: | Banasik K; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Tummoszeit I; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Bliddal S; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Vexø LE; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Madsen EP; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Hartwig TS; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Werge L; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Johnsen MG; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Gruhn JR; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Chan AC; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Løkkegaard EC; Department of Obstetrics and Gynaecology, North Zealand University Hospital, Hillerød, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Ambye L; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark., Jørgensen FS; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Hoffmann ER; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Westergaard D; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark. Electronic address: david.westergaard@regionh.dk., Nielsen HS; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. |
| Corporate Authors: | COPL Consortium |
| Source: | Fertility and sterility [Fertil Steril] 2026 Jun; Vol. 125 (6), pp. 1042-1053. Date of Electronic Publication: 2026 Jan 31. |
| Publication Type: | Journal Article; Multicenter Study; Validation Study |
| Journal Info: | Publisher: Elsevier for the American Society for Reproductive Medicine Country of Publication: United States NLM ID: 0372772 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-5653 (Electronic) Linking ISSN: 00150282 NLM ISO Abbreviation: Fertil Steril Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41628849 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Developing and validating a machine learning approach for prediction of euploid pregnancy loss in the Copenhagen pregnancy loss study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Banasik+K%22">Banasik K</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Tummoszeit+I%22">Tummoszeit I</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Bliddal+S%22">Bliddal S</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Vexø+LE%22">Vexø LE</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Madsen+EP%22">Madsen EP</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Hartwig+TS%22">Hartwig TS</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Werge+L%22">Werge L</searchLink>; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Johnsen+MG%22">Johnsen MG</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Gruhn+JR%22">Gruhn JR</searchLink>; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Chan+AC%22">Chan AC</searchLink>; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Løkkegaard+EC%22">Løkkegaard EC</searchLink>; Department of Obstetrics and Gynaecology, North Zealand University Hospital, Hillerød, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Ambye+L%22">Ambye L</searchLink>; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.<br /><searchLink fieldCode="AU" term="%22Jørgensen+FS%22">Jørgensen FS</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Hvidovre Hospitals NIPT Center, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Hoffmann+ER%22">Hoffmann ER</searchLink>; Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Westergaard+D%22">Westergaard D</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark. Electronic address: david.westergaard@regionh.dk.<br /><searchLink fieldCode="AU" term="%22Nielsen+HS%22">Nielsen HS</searchLink>; Department of Obstetrics and Gynecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22COPL+Consortium%22">COPL Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220372772%22">Fertility and sterility</searchLink> [Fertil Steril] 2026 Jun; Vol. 125 (6), pp. 1042-1053. <i>Date of Electronic Publication: </i>2026 Jan 31. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+for+the+American+Society+for+Reproductive+Medicine%22">Elsevier for the American Society for Reproductive Medicine </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0372772 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1556-5653 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200150282%22">00150282 </searchLink><i>NLM ISO Abbreviation: </i>Fertil Steril <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41628849 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.fertnstert.2026.01.026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1042 Titles: – TitleFull: Developing and validating a machine learning approach for prediction of euploid pregnancy loss in the Copenhagen pregnancy loss study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Banasik K – PersonEntity: Name: NameFull: Tummoszeit I – PersonEntity: Name: NameFull: Bliddal S – PersonEntity: Name: NameFull: Vexø LE – PersonEntity: Name: NameFull: Madsen EP – PersonEntity: Name: NameFull: Hartwig TS – PersonEntity: Name: NameFull: Werge L – PersonEntity: Name: NameFull: Johnsen MG – PersonEntity: Name: NameFull: Gruhn JR – PersonEntity: Name: NameFull: Chan AC – PersonEntity: Name: NameFull: Løkkegaard EC – PersonEntity: Name: NameFull: Ambye L – PersonEntity: Name: NameFull: Jørgensen FS – PersonEntity: Name: NameFull: Hoffmann ER – PersonEntity: Name: NameFull: Westergaard D – PersonEntity: Name: NameFull: Nielsen HS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1556-5653 Numbering: – Type: volume Value: 125 – Type: issue Value: 6 Titles: – TitleFull: Fertility and sterility Type: main |
| ResultId | 1 |