Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification

Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification

Abstract Purpose To determine the factors influencing the likelihood of biochemical pregnancy loss (BPL) after transfer of a euploid embryo from preimplantation genetic testing for aneuploidy (PGT-A) cycles. Methods The study employed an observational, retrospective cohort design, encompassing 6020...

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Détails bibliographiques
Auteurs principaux:	José A. Ortiz, B. Lledó, R. Morales, A. Máñez-Grau, A. Cascales, A. Rodríguez-Arnedo, Juan C. Castillo, A. Bernabeu, R. Bernabeu
Format:	Article
Langue:	English
Publié:	BMC 2024-08-01
Collection:	Reproductive Biology and Endocrinology
Sujets:	Biochemical pregnancy loss (BPL) NGS PGT-A Machine learning Artificial intelligence (AI) SHAP value
Accès en ligne:	https://doi.org/10.1186/s12958-024-01271-1

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