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.
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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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