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EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_647b288e6f4541a8a1808b1d49a0e5f4

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

About this item

Full title

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

Publisher

London: Nature Publishing Group UK

Journal title

Communications biology, 2024-03, Vol.7 (1), p.268-15, Article 268

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

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

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

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