Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study

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Publication Details

Journal
Reproductive Biology and Endocrinology
Published
2024-10-28
DOI
https://doi.org/10.1186/s12958-024-01302-x
Citations
1
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
0.54

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article

Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study

Iryna Kuznyetsova, Khaled Abdalla, Changsheng Dai, Carmit Steinberg et al.
1 citations
Reproductive Biology and Endocrinology
Reproductive Biology and Fertility
0.54
article

Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study

Iryna Kuznyetsova, Khaled Abdalla, Changsheng Dai, Carmit Steinberg, Guanqiao Shan, Yu Sun, Junhui Law, Hang Liu, Ang Li, Zhuoran Zhang, Clifford Librach, Justin Tan
article en
1 citations

Abstract

No abstract available for this paper.
Reproductive Biology and EndocrinologyVol. 22(1)
University of Toronto (CA), Dalian University of Technology (CN), Chinese University of Hong Kong, Shenzhen (CN), CReATe Fertility Centre (CA)
University of Toronto
Openalex Percentile: Top 27%
Reproductive Biology and Fertility
0.54
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Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study — Iryna Kuznyetsova, Khaled Abdalla, et al. · Reproductive Biology and Endocrinology (2024) | TGRS Research Map | TGRS