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HRA009958
   HRA009958.xlsx
Title:
Accurate prediction of the recurrent implantation failure population using machine learning with plasma microRNA biomarkers before embryo transfer
Release date:
2025-10-31
Description:
Recurrent implantation failure (RIF) is a major challenge in the field of assisted reproductive technology (ART). Accurate identification of RIF patients before embryo transfer is crucial for effective clinical intervention. We provide an innovative, safe, non-invasive, and rapid strategy to identify RIF patients by plasma microRNA (miRNA) sequencing on the day of ovulation.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA034524
Study type:
controlled trial
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC002928
DAC name:
Wangxh
Contact person:
Wang Xiaohong
Email:
wangxh919@fmmu.edu.cn
Description:
Wangxh DAC mainly shares omics information related to pregnancy, including peripheral blood, fetus, placenta, etc.
Individuals & samples
Files
Request Data
Submitter:   Wang Xiaohong / wangxh919@fmmu.edu.cn
Organization:   Tangdu Hospital, Fourth Military Medical University
Submission date:   2025-01-03
Requests:   -