Gynecological Endocrinology, 2023 Introduction Embryo implantation provides an efficient way for patients with repeated implantation failure (RIF) to achieve pregnancy. The aim of this study is to compare the implantation outcomes of RIF patients in artificial cycle to those in natural ...
Mingming Shu +5 more
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#238 : rsERT Guided Personalized Embryo Transfer Improves Clinical Outcomes in RIF Patients
Fertility & Reproduction, 2023 Background and Aims: Narrowed or shifted window of implantation (WOI) is acknowledged to be one of the endometrial origins of embryo implantation failure, especially in patients with repeated implantation failure (RIF).
Sijia Lu
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Personalized embryo transfer after endometrial receptivity array test in patients with recurrent unexplained implantation failure [PDF]
International Journal of Reproduction, Contraception, Obstetrics and Gynecology, 2022 Background: Unexplained recurrent implantation failure is a devastating situation for both patients and the doctor treating them, with transfer of high grade euploid embryos this situation became more related to the endometrial receptivity and the interaction between the embryo and the endometrium.
Nagwan Ahmed Bahgat, Waleed Said
openaire +3 more sources
Advanced age woman with diminished ovarian reserve obtained live birth following a zero pronuclei-derived four-cell frozen-thawed embryo transfer on day 4: a case report [PDF]
Frontiers in MedicineObjectiveAdvanced maternal age and diminished ovarian reserve (DOR) are challenges in infertile patients for in vitro fertilization-embryo transfer (IVF-ET).
Xiao-lei Zhang +2 more
doaj +2 more sources
Reproductive Medicine and Biology, 2023 Purpose To evaluate clinical outcomes after endometrial receptivity analysis (ERA). Methods This was a multicenter, retrospective cohort study involving 861 women who underwent ERA testing at certified fertility clinics in Japan, and who received ...
Yuya Takeshige +13 more
doaj +3 more sources
Prediction of live birth using machine learning based on β-hCG and embryo quality in patients with unexplained recurrent spontaneous abortion undergoing PGT-A [PDF]
Frontiers in EndocrinologyPurposeThis study aimed to identify key predictors of live birth and to develop a machine learning prediction model for women with unexplained recurrent spontaneous abortion (URSA) undergoing preimplantation genetic testing for aneuploidy (PGT-A ...
Jiao Lin +9 more
doaj +2 more sources
Development and internal temporal validation of an explainable XGBoost model for predicting clinical pregnancy after frozen embryo transfer [PDF]
Frontiers in EndocrinologyKey messageAn explainable machine learning model was developed using comprehensive clinical variables to predict clinical pregnancy outcomes following frozen embryo transfer.
Xudong Hu +6 more
doaj +2 more sources
Development and external validation of a three-stage model to predict live birth after fresh IVF/ICSI embryo transfer [PDF]
Frontiers in EndocrinologyBackgroundPredicting live birth outcomes following in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) remains challenging. Most existing models are typically limited to single time-point data and lack integration of sequential clinical ...
Haoxuan Guo +13 more
doaj +2 more sources
Comparison of the Effectiveness of Endometrial Receptivity Analysis (ERA) to Guide Personalized Embryo Transfer with Conventional Frozen Embryo Transfer in 281 Chinese Women with Recurrent Implantation Failure. [PDF]
Med Sci Monit, 2022 BACKGROUND This study aimed to compare the effectiveness of endometrial receptivity analysis (ERA)-guided personalized embryo transfer (pET) with conventional frozen embryo transfer (FET) in 281 Chinese women with recurrent implantation failure (RIF). MATERIAL AND METHODS A total of 281 eligible patients with RIF were recruited and assigned to ERA (ERA
Jia Y +8 more
europepmc +3 more sources
Asian Pacific Journal of ReproductionObjective: To assess whether personalized embryo transfer guided by endometrial receptivity array (ERA) improves implantation and pregnancy rates in women with implantation failure.
Asha S Vijay +5 more
doaj +2 more sources