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No ORCID on file · 1 paper in corpus · active 2023
2023
Reproductive sciences (Thousand Oaks, Calif.) ·doi:10.1007/s43032-022-01071-1

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-…