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

• Main Authors: José A. Ortiz, PhD (Author), Ruth Morales, PhD (Author), Belén Lledó, PhD (Author), Juan A. Vicente, PhD (Author), Julio González, PhD (Author), Eva M. García-Hernández, PhD (Author), Alba Cascales, MSc (Author), Jorge Ten, PhD (Author), Andrea Bernabeu, PhD, MD (Author), Rafael Bernabeu, PhD, MD (Author)
• Format: Book
• Published: Elsevier, 2022-11-01T00:00:00Z.
• Subjects: article
• Online Access: 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...