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...

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Detalles Bibliográficos
Autores principales: Cheredath, Aswathi, Uppangala, Shubhashree, C. S, Asha, Jijo, Ameya, R, Vani Lakshmi, Kumar, Pratap, Joseph, David, G.A, Nagana Gowda, Kalthur, Guruprasad, Adiga, Satish Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Embryology: Original Article
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

Internet

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

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