Opening the black box: why do euploid blastocysts fail to implant? A systematic review and meta-analysis
D Cimadomo, L Rienzi, A Conforti… - Human …, 2023 - academic.oup.com
BACKGROUND A normal chromosomal constitution defined through PGT-A assessing all
chromosomes on trophectoderm (TE) biopsies represents the strongest predictor of embryo …
chromosomes on trophectoderm (TE) biopsies represents the strongest predictor of embryo …
Recurrent implantation failure: definition and management
C Coughlan, W Ledger, Q Wang, F Liu… - Reproductive …, 2014 - Elsevier
Recurrent implantation failure refers to failure to achieve a clinical pregnancy after transfer of
at least four good-quality embryos in a minimum of three fresh or frozen cycles in a woman …
at least four good-quality embryos in a minimum of three fresh or frozen cycles in a woman …
[HTML][HTML] Human blastoids model blastocyst development and implantation
One week after fertilization, human embryos implant into the uterus. This event requires the
embryo to form a blastocyst consisting of a sphere encircling a cavity lodging the embryo …
embryo to form a blastocyst consisting of a sphere encircling a cavity lodging the embryo …
[PDF][PDF] Integrated pseudotime analysis of human pre-implantation embryo single-cell transcriptomes reveals the dynamics of lineage specification
Understanding lineage specification during human pre-implantation development is a
gateway to improving assisted reproductive technologies and stem cell research. Here we …
gateway to improving assisted reproductive technologies and stem cell research. Here we …
Frozen versus fresh single blastocyst transfer in ovulatory women: a multicentre, randomised controlled trial
D Wei, JY Liu, Y Sun, Y Shi, B Zhang, JQ Liu, J Tan… - The lancet, 2019 - thelancet.com
Background Elective single embryo transfer (eSET) has been increasingly advocated, but
concerns about the lower pregnancy rate after reducing the number of embryos transferred …
concerns about the lower pregnancy rate after reducing the number of embryos transferred …
[HTML][HTML] Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids
Z Ai, B Niu, Y Yin, L Xiang, G Shi, K Duan, S Wang… - Cell Research, 2023 - nature.com
Studies of cultured embryos have provided insights into human peri-implantation
development. However, detailed knowledge of peri-implantation lineage development as …
development. However, detailed knowledge of peri-implantation lineage development as …
A developmental landscape of 3D-cultured human pre-gastrulation embryos
L Xiang, Y Yin, Y Zheng, Y Ma, Y Li, Z Zhao, J Guo, Z Ai… - Nature, 2020 - nature.com
Our understanding of how human embryos develop before gastrulation, including spatial
self-organization and cell type ontogeny, remains limited by available two-dimensional …
self-organization and cell type ontogeny, remains limited by available two-dimensional …
[HTML][HTML] Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
Visual morphology assessment is routinely used for evaluating of embryo quality and
selecting human blastocysts for transfer after in vitro fertilization (IVF). However, the …
selecting human blastocysts for transfer after in vitro fertilization (IVF). However, the …
[HTML][HTML] Depletion of aneuploid cells in human embryos and gastruloids
Chromosomal instability leading to aneuploidy is pervasive in early human embryos,–and is
considered as a major cause of infertility and pregnancy wastage,. Here we provide several …
considered as a major cause of infertility and pregnancy wastage,. Here we provide several …
Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer
D Tran, S Cooke, PJ Illingworth… - Human …, 2019 - academic.oup.com
STUDY QUESTION Can a deep learning model predict the probability of pregnancy with
fetal heart (FH) from time-lapse videos? SUMMARY ANSWER We created a deep learning …
fetal heart (FH) from time-lapse videos? SUMMARY ANSWER We created a deep learning …