Israeli in vitro fertilization startup AiVF has presented a study that shows for the first time that genetic characteristics in embryos can be extracted using novel artificial intelligence (AI)-based computer vision technologies.
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The study, presented this week at the prestigious ESHRE (European Society of Human Reproduction and Embryology) annual conference, was carried out by researchers at AiVF, which specializes in AI technology for digitizing IVF (In Vitro Fertilization) clinics, together with researchers led by Dr. Marcos Meseguer from the IVIRMA clinic in Valencia, Spain.
The new research is based on a retrospective study involving 2,500 embryos with PGT-A results: 1,000 euploid (genetically normal) embryos and 1,500 aneuploid (genetically abnormal) embryos. The study tested the effectiveness of AiVF's multi-module integrated platform, which combines AI, computer vision, and big data.
According to the study, EMATM detected significant differences between aneuploid and euploid embryos during the first five days of embryonic development. Aneuploid embryos were significantly more likely to reach each specific embryo developmental event later than euploid embryos and the time gaps between developmental milestones were also statistically longer in aneuploid embryos.
The study marks an additional achievement for AiVF, which announced in April that its system has received the CE Mark, paving the way for use of the platform at clinics across Europe. AiVF currently has the largest database of embryo images and correlating patient data in the world, guaranteeing high accuracy of its clinical predictions.
