Application of machine learning to predict aneuploidy and mosaicism in embryos from in vitro fertilization cyclesAJOG Global Reports at a Glance

• Váldodahkkit: José A. Ortiz, PhD (Dahkki), Ruth Morales, PhD (Dahkki), Belén Lledó, PhD (Dahkki), Juan A. Vicente, PhD (Dahkki), Julio González, PhD (Dahkki), Eva M. García-Hernández, PhD (Dahkki), Alba Cascales, MSc (Dahkki), Jorge Ten, PhD (Dahkki), Andrea Bernabeu, PhD, MD (Dahkki), Rafael Bernabeu, PhD, MD (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Elsevier, 2022-11-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...