首页/数据集/Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?

Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?

NIAID Data Ecosystem2026-03-13 收录

胚胎植入预测

胚胎学评估一致性

数据链接：

https://doi.org/10.7910/DVN/1Z4HLC 数据链接链接失效反馈

官方服务：

资源简介：

Data supporting the Human Reproduction 2022 publication Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?

应用场景：

创建时间：

2022-06-20

生殖转录组学

胚胎植入预测

Currently, in vitro fertilization (IVF) is one of the most common approaches towards treating infertility. However, the success of this approach is still relatively low an the outcome of the IVF proce

NIAID Data Ecosystem100

Number of transferred embryos with known implantation data (KID), area under the curve (AUC) and 95% confidence intervals (C.I.) for the following sub-groups: age, insemination method, length of incubation and fresh vs cryopreserved embryo transfer.

胚胎植入预测

辅助生殖技术结果分析

NIAID Data Ecosystem20

Five-fold cross-validation experiment on varying the distribution between FH+, FH- and discarded embryos used during training.

胚胎植入预测

生殖医学机器学习

The area under the curve (AUC) was evaluated for both transferred embryos with known implantation data (KID) and all embryos for each validation data set.

NIAID Data Ecosystem10

Absence of correlation between follicular fluid volume and follicular granulocyte colony-stimulating factor, a predictor of embryo implantation and successful delivery

辅助生殖技术

胚胎植入预测

Follicular granulocyte colony-stimulating factor (G-CSF) is a documented marker of embryo implantation potential. The primary objective was to determine whether follicular G-CSF levels correlate with

NIAID Data Ecosystem20

Whole transcriptomic analysis of uterine fluid exosomes during fresh embryo transfer cycles [lncRNA-seq]

胚胎植入预测

生殖转录组学

By comparing the difference in whole transcriptome of uterine fluid exosomes on embryo transfer day between pregnant and unpregnant groups during IVF cycles, novel biomarkers that may predict embryo i

NIAID Data Ecosystem10

Embryologist Agreement When Assessing Blastocyst Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment Subjectivity?

资源简介：

相关数据集