Application of machine learning to predict aneuploidy and mosaicism in embryos from in vitro fertilization cycles
Author:
Publisher
Elsevier BV
Subject
Obstetrics and Gynecology
Reference42 articles.
1. Next generation sequencing for preimplantation genetic testing for aneuploidy: friend or foe?;Fragouli;Fertil Steril,2018
2. The relationship between blastocyst morphology, chromosomal abnormality, and embryo gender;Alfarawati;Fertil Steril,2011
3. Idiopathic recurrent miscarriage is caused mostly by aneuploid embryos;Hodes-Wertz;Fertil Steril,2012
4. Oocyte development, meiosis and aneuploidy;MacLennan;Semin Cell Dev Biol,2015
5. Preimplantation genetic screening reveals a high incidence of aneuploidy and mosaicism in embryos from young women undergoing IVF;Baart;Hum Reprod,2006
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1. Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights;Reproductive Biology and Endocrinology;2024-09-11
2. Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification;Reproductive Biology and Endocrinology;2024-08-08
3. The Prediction of IVF Outcomes with Autologous Oocytes and the Optimal MII Oocyte/Embryo Number for Live Birth at Advanced Maternal Age;Medicina;2023-10-10
4. Factors associated with embryo mosaicism: a systematic review and meta-analysis;Journal of Assisted Reproduction and Genetics;2023-08-18
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