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IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation

IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation
2023-04-27
(Press-News.org) IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation.

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Article URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011020

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

Author Countries: Poland

Funding: The research was co-financed by the European Regional Development Fund under the Pomorskie Voivodeship Regional Operational Programme for 2014-2020 as part of the project: The Development and Implementation of a New Method for Diagnosing Fertility Disorders of Genetic Origin Based on Next-generation High-throughput Sequencing. Co-financing agreement No. RPPM.01.01.01-22-0060/17. The funders had no role in study design, data collection or analysis, the decision to publish, or the preparation of the manuscript.

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IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation 2 IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation 3

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[Press-News.org] IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation