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Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction
This study investigated whether combining metabolomic and embryologic data with machine learning (ML) models improve the prediction of embryo implantation potential. In this prospective cohort study, infertile couples (n=56) undergoing day-5 single blastocyst transfer between February 2019 and Augus...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014658/ https://www.ncbi.nlm.nih.gov/pubmed/36097248 http://dx.doi.org/10.1007/s43032-022-01071-1 |