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Developing and validating a machine learning approach for prediction of euploid pregnancy loss in the Copenhagen pregnancy loss study.

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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
Description
ISSN:1556-5653
DOI:10.1016/j.fertnstert.2026.01.026