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This study looks at an investigational automated, artificial intelligence (AI)-based sperm selection technology called the BAIBYS™ System. We want to see how it compares to current methods in terms of efficiency and effectiveness in producing high-quality Embryos, which can lead to successful pregnancies and healthy babies.
Infertility impacts about 15% of couples globally, with male issues contributing to around 50% of these cases. You will be undergoing a treatment called Intra-Cytoplasmic Sperm Injection (ICSI) as part of your planned treatment program. In this procedure, embryologists inject selected sperm into an egg, based on its movement, observed under a low-magnification microscope. However, this method does not fully detect defects in sperm shape that may indicate sperm quality. Recent studies show that using high magnification for sperm selection is important for successful fertilization, higher embryo quality, lower birth defect rates, and higher birth rates of healthy babies.
Selecting sperm manually under a microscope at high magnification takes a lot of time and depends on the skill of embryologists, which can lead to differences in judgment. Because of this, there is an interest in using AI to make sperm selection more accurate, consistent, and faster.
The BAIBYS™ System uses advanced AI technology to automatically choose sperm based on their movement, size, and shape. These features help to determine the sperm's potential to be normal and produce a good embryo. The system also organizes the selected sperm into separate areas from which the embryologist will pick the sperm for injection into the egg. This investigational device could become a valuable tool in reproductive technology. Clinical research is crucial to confirm these ideas and show their long-term effects on fertility treatments.
In this study, half of the oocytes retrieved during your IVF cycle will be injected with sperm selected from your partner's (or known donor's) semen by using the BAIBYS™ System, while the other half will be fertilized by sperm chosen according to the standard procedure at this institution. In any case, the embryologist will confirm that the sperm selected by the device are viable and acceptable. After fertilization, the best embryo, no matter which study group, will be selected for transfer to the uterus for pregnancy, and the rest of the good embryos will be frozen based on the institution's best standard clinical guidelines.
Full description
The BAIBYS™ System is an automated microscopy-based tool intended to assist embryologists in selecting ideal spermatozoa based on morphological characteristics and motility for the Intra Cytoplasmic Sperm Injection (ICSI) procedure. It employs computer-vision machine learning algorithms trained with high-magnification live cell imagery. The system is indicated for adults who are undergoing the ICSI procedure.
Prospective, multi-center, two-arms (standard ICSI+BAIBYS™ vs. Standard ICSI only) randomized controlled study.
The sperm selection methodology utilized in the BAIBYS™ System for ICSI serves as a software-based decision-support tool. The embryologist retains the final decision regarding the utilization of the sperm that has been chosen by the apparatus.
The determination of the selected embryo for transferring to the uterine cavity and cryopreservation is based on the best conventional clinical practice. The study design directs only in cases of multiple decision options in order to maintain the balance between the sample size of the study cohorts.
Each female participant will be equally randomized to either the BAIBYS™ arm or the Control arm. This randomization will determine the oocyte (extra) allocation, ICSI timing, and embryo transfer:
The embryologists who inject sperm into the oocytes of both arms will remain blind to the study arm from which the sperm originated. The selected sperm in each arm will be transferred to a new ICSI dish in which the allocated oocytes are placed.
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260 participants in 2 patient groups
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David Rigler
Data sourced from clinicaltrials.gov
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