An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data

BACKGROUND: For the association between time-lapse technology (TLT) and embryo ploidy status, there has not yet been fully understood. TLT has the characteristics of large amount of data and non-invasiveness. If we want to accurately predict embryo ploidy status from TLT, artificial intelligence (AI...

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Detalles Bibliográficos
Autores principales: Huang, Bo, Tan, Wei, Li, Zhou, Jin, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667440/
https://www.ncbi.nlm.nih.gov/pubmed/34903224
http://dx.doi.org/10.1186/s12958-021-00864-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667440/
https://www.ncbi.nlm.nih.gov/pubmed/34903224
http://dx.doi.org/10.1186/s12958-021-00864-4

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