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

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

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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...

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Bibliographic Details
Main Authors: Krystian Zieliński, Sebastian Pukszta, Małgorzata Mickiewicz, Marta Kotlarz, Piotr Wygocki, Marcin Zieleń, Dominika Drzewiecka, Damian Drzyzga, Anna Kloska, Joanna Jakóbkiewicz-Banecka
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011020

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