EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The combination of a good quality embryo and proper maternal health factors promise higher chances of a successful in vitro fertilization (IVF) procedure leading to clinical pregnancy and live birth. Of these two factors, selection of a good embryo is a controllable aspect. The current gold standard in clinical practice is visual assessment of an e...
Alternative Titles
Full title
EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_647b288e6f4541a8a1808b1d49a0e5f4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_647b288e6f4541a8a1808b1d49a0e5f4
Other Identifiers
ISSN
2399-3642
E-ISSN
2399-3642
DOI
10.1038/s42003-024-05960-w