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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
Algorithm to predict assisted reproductive technology pregnancy outcome reveals minimal embryo synergy
Sergey P Torsky1, Paula Amato, Pauline L Cisneros
1Baylor Assisted Reproductive Technology Program,Baylor College of Medicine, Houston, Texas.
Abstract:
A mathematical model was developed to calculate the implantation probability for individual embryos based on the pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cases with multiple embryos transferred. This model was used to calculate implantation probabilities of embryos of 31 morphological types using the outcome of 1,200 IVF/ICSI cases. The algorithm was validated by comparing the calculated pregnancy probability and multiple pregnancy probability with the actual outcome of 281 separate IVF/ICSI cases. Finally, an estimation of embryo synergy was calculated.

