Elbaz M

ORCID: 0009-0002-4079-7838 · 2 papers in corpus

2020

Machine learning vs. classic statistics for the prediction of IVF outcomes.

Journal of assisted reproduction and genetics ·doi:10.1007/s10815-020-01908-1

PurposeTo assess whether machine learning methods provide advantage over classic statistical modeling for the prediction of IVF outcomes.MethodsThe study population consisted of 136 women undergoing a fresh IVF cycle from January 2014 to Au…

2018

Uterine Foxl2 regulates the adherence of the Trophectoderm cells to the endometrial epithelium.

Reproductive biology and endocrinology : RB&E ·doi:10.1186/s12958-018-0329-y

BackgroundForkhead Transcription Factor L2 (FOXL2) is a member of the forkhead family with important roles in reproduction. Recent studies showed that FOXL2 is expressed in human and bovine endometrium and that its levels fluctuate during p…