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14 de may. de 2024 · Of 1427 respondents, most approved of PES use for embryo selecton based on physical health conditions (1101 [77.2%]) and psychiatric health conditions (1028 [72.0%]). However, a minority approved of embryo selection for behavioral traits (514 [36.0%]) and physical traits (432 [30.3%]).
24 de may. de 2024 · A deep learning neural network that is trained on TL videos to predict fetal heartbeat is the iDAScore embryo scoring model. Time-lapse videos are fed into the iDAScore model, which generates an embryo score between 1.0 and 9.9.
14 de may. de 2024 · Assuming that increased fragmentation is detrimental to embryo development, implantation, and pregnancy outcome, it is important to understand the embryo scoring system that determines the best embryo for transfer.
10 de may. de 2024 · These known biomarkers can be used to predict the maturation level of an oocyte, rather than visual cues alone. Together, these innovations seek to improve oocyte maturation and selection to improve embryo implantation and birth outcomes.
14 de may. de 2024 · How accurate are polygenic risk scores? Before now, patients undergoing IVF could choose which embryos to implant based on DNA tests that detect chromosomal abnormalities, such as Down syndrome, and diseases caused by mutations in a single gene, such as cystic fibrosis.
30 de may. de 2024 · Examining the contractile elements of human embryos revealed that, as in mice, cell contractility is responsible for generating the pulling forces that compact human embryos.
29 de may. de 2024 · Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction. Bing-Xin Ma.
