Condition: Reproductive Issues · Subfertility · IVF · Sponsor: Chinese University of Hong Kong
During assisted reproductive technology treatment, embryo selection is an important process that may affect the clinical pregnancy rate. Many assisted reproductive technology units over the world have tried different approaches to increase the clinical pregnancy rate. Conventionally, the morphology of the embryo is assessed by the embryologist with naked eyes only. Nowadays, artificial intelligence (AI) has been used to assist in morphological assessment of the embryo. Our pilot study showed that the AI-enhanced morphokinetic (MK) analysis increased the accuracy in embryo selection by \~9%, while the detection rate for abnormal chromosomes in embryo has also been increased by Raman spectroscopy (RS) analysis. The combined MK-RS analysis will be able to complete embryo assessment within 5-6 days after fertilization. This method needs shorter time and is at lower cost when compared to invasive preimplantation genetic testing for aneuploidies (PGT-A). In this study, we have combined the following non-invasive techniques to assist in embryo screening. 1. Using time-lapse imaging (i.e. images of embryo being taken every 10 minutes inside the incubator) with AI)-enhanced MK analysis to assess the entire morphological changes of the embryo. 2. As the embryo releases metabolites during its growth, the spent culture medium will be collected after culture of the embryo and then be used for RS analysis, which is a kind of metabolomics-based non-invasive PGT-A, for screening chromosoma…
This description comes directly from the study's public registry record.
PUI WAH JACQUELINE CHUNG · +852 35051537 · jacquelinechung@cuhk.edu.hk
WING IU LI · +852 35051764 · wingiuli@cuhk.edu.hk
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