IVF procedures can be improved by combining genetic and clinical data to predict the number of eggs retrieved in patients undergoing ovarian stimulation
Published 2023-04-27 · Original archive entry · Explore research explainers
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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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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