We present a novel diagnostic method combining next-generation sequencing (NGS) and SNP genotyping to assess embryos for aneuploidy, haploidy, triploidy, and determine parental origin. To validate
To investigate whether sperm concentration influences blastocyst formation predictions based on oocyte morphology scored by artificial intelligence (AI) in a clinical setting.
The objective of this study was to assess how often a genetic carrier screening discrepancy was identified for patients referred for a gamete donor review genetic counseling session. A screening
To evaluate agreement between the Folliscan artificial intelligence (AI) model and expert sonographers in measuring ovarian follicle diameters during in vitro fertilization (IVF) monitoring.
To determine whether a multi-agent AI system, leveraging a computer vision foundation model and vision-enabled large language models (LLMs), can automate continuous embryo monitoring and
To evaluate the distribution of euploid embryos within each SART age group by day of culture, biopsy, and cryopreservation (day 5, 6, or 7).
To investigate whether parental and cell-division origin analysis can identify the false positives of chromosomal aberrations in mosaic embryos.
Despite advances in microsurgical techniques, sperm retrieval (SR) in non-obstructive azoospermia (NOA), often results in low sperm yield. No clear consensus exists regarding the superiority of
We have previously reported that the addition of GM-CSF during IVM can increase embryo development and that these improvements result in increases in implantation and birth rates following
Polycystic ovary syndrome (PCOS) is associated with mitochondrial dysfunction in oocytes. While MitoScore, which measures the ratio of mtDNA to nuclear DNA, evaluates mitochondrial health in
Displaying 1591 to 1600 of 2587 records
