Wyniki wyszukiwania dla: IVF

• Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data

  Publikacja

  • K. Zieliński
  • S. Pukszta
  • M. Mickiewicz
  • M. Kotlarz
  • P. Wygocki
  • M. Zieleń
  • D. Drzewiecka
  • D. Drzyzga
  • A. Kloska
  • J. Jakóbkiewicz-Banecka

  - PLoS Computational Biology - Rok 2023

  Controlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...

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