Application of machine learning to predict aneuploidy and mosaicism in embryos from in vitro fertilization cycles

BACKGROUND: The factors associated with embryo aneuploidy have been extensively studied. Mostly maternal age and to a lesser extent male factor and ovarian stimulation have been related to the occurrence of chromosomal alterations in the embryo. On the other hand, the main factors that may increase...

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Detalles Bibliográficos
Autores principales: Ortiz, José A., Morales, Ruth, Lledó, Belén, Vicente, Juan A., González, Julio, García-Hernández, Eva M., Cascales, Alba, Ten, Jorge, Bernabeu, Andrea, Bernabeu, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574883/
https://www.ncbi.nlm.nih.gov/pubmed/36275401
http://dx.doi.org/10.1016/j.xagr.2022.100103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574883/
https://www.ncbi.nlm.nih.gov/pubmed/36275401
http://dx.doi.org/10.1016/j.xagr.2022.100103

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