Bergandi L

No ORCID on file · 2 papers in corpus · active 2020-2024
2024
A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development.
Journal of ovarian research ·doi:10.1186/s13048-024-01376-6

BackgroundArtificial Intelligence entails the application of computer algorithms to the huge and heterogeneous amount of morphodynamic data produced by Time-Lapse Technology. In this context, Machine Learning (ML) methods were developed in …

2020
Morphokinetic analysis of cleavage stage embryos and assessment of specific gene expression in cumulus cells independently predict human embryo development to expanded blastocyst: a preliminary study.
Journal of assisted reproduction and genetics ·doi:10.1007/s10815-020-01806-6

To assess whether morphokinetic features at the cleavage stage together with specific gene expression in cumulus cells (CCs) may be used to predict whether human embryos are able to achieve the expanded blastocyst stage on day 5. Eighty-one…