Evidence map›Paper›PMID 41030854›Full record

ArticleFrontiers in endocrinology2025

Embryo selection at the cleavage stage using Raman spectroscopy of day 3 culture medium and machine learning: a preliminary study.

Fang Cao, Wei Xiong, Xiaohui Lu, Yanjun Luo, Rui Yan, Li Chen, Yufeng Wang, Hanbi Wang, Xiuliang Dai

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fang Cao *The Center for Reproductive Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Wei Xiong *Department of Gynecology Endocrine and Reproductive Center, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, China.
Xiaohui LuThe Center for Reproductive Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Yanjun LuoShanghai D-Band Medical Technology Co., Ltd, Shanghai, China.
Rui YanShanghai D-Band Medical Technology Co., Ltd, Shanghai, China.
Li ChenThe Center for Reproductive Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Yufeng WangThe Center for Reproductive Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.
Hanbi WangDepartment of Gynecology Endocrine and Reproductive Center, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, China.
Xiuliang DaiThe Center for Reproductive Medicine, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blastocyst transfer has been associated with shorter leukocyte telomere length in ART-conceived children, suggesting that extended embryo culture may accelerate aging in offspring. Selecting Day 3 embryos with high developmental potential for transfer could address this issue. The aim of this study is to investigate whether machine learning combined with Raman spectroscopy of spent Day 3 culture medium can serve as a potential method for predicting extended embryo culture outcomes, thereby enabling embryo selection at the cleavage stage. Conclusion: Our preliminary study suggests that machine learning combined with Raman spectra of spent Day 3 culture medium represents a promising non-invasive approach for embryo selection at the cleavage stage.

Indexed as

BlastocystCleavage Stage, OvumCulture MediaEmbryo TransferMachine LearningSpectrum Analysis, RamanAdultEmbryo Culture TechniquesEmbryonic DevelopmentFemaleHumansInfertility, FemaleMaleProspective StudiesSensitivity and SpecificityTime FactorsCulture Mediaembryo selectionextended culture outcomesmachine learningRaman spectroscopyspent day 3 culture medium

Identifiers

PMID41030854
PMCPMC12477197

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.