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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Detalhes bibliográficos
Main Authors: José A. Ortiz, B. Lledó, R. Morales, A. Máñez-Grau, A. Cascales, A. Rodríguez-Arnedo, Juan C. Castillo, A. Bernabeu, R. Bernabeu
Formato: Artigo
Idioma:English
Publicado em: BMC 2024-08-01
Colecção:Reproductive Biology and Endocrinology
Assuntos:
Biochemical pregnancy loss (BPL)
NGS
PGT-A
Machine learning
Artificial intelligence (AI)
SHAP value
Acesso em linha:https://doi.org/10.1186/s12958-024-01271-1

Internet

https://doi.org/10.1186/s12958-024-01271-1

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