Are the prospective reproductive outcomes in RPL couples related to sperm DNA fragmentation index (DFI) measured by SCSA, morphology and concentration at referral? Design A prospective cohort study including 95 couples seen between 01/04/2018 and 01/12/2019 at the tertiary Copenhagen RPL Unit, Copenhagen University Hospital, Rigshospitalet and Hvidovre Hospital, Denmark. The couples had experienced three...Read More
The role of sperm DNA fragmentation index (DFI) in investigating fertility, embryonic development,and pregnancy is of academic interest. However, there is ongoing controversy regarding the impactof DFI on pregnancy outcomes and the safety of offspring in the context of Assisted ReproductiveTechnology (ART). Sperm DFI has an impact on both miscarriage rates and birth weight in...Read More
Are the prospective reproductive outcomes in RPL couples related to sperm DNA fragmentation index (DFI) measured by SCSA, morphology and concentration at referral? Design A prospective cohort study including 95 couples seen between 01/04/2018 and 01/12/2019 at the tertiary Copenhagen RPL Unit, Copenhagen University Hospital, Rigshospitalet and Hvidovre Hospital, Denmark. The couples had experienced three...Read More
The integration of artificial intelligence (AI) and deep learning algorithms into medical care has been the focus of development over the last decade, particularly in the field of assisted reproductive technologies and in vitro fertilization (IVF). With embryo morphology the cornerstone of clinical decision making for IVF, the field of IVF is highly reliant on...Read More
In a recent Fertility and Sterility review, researchers summarize the available evidence on the application of artificial intelligence (AI) and machine learning in sperm selection. The success rates of ART have remained relatively low globally due to the lack of proper sperm selection. Despite technological advancements, the final sperm selection is primarily performed manually by an embryologist following...Read More
The development of assisted reproductive technology has allowed offspring in infertile couples, and specifically, allowed infertile men to conceive through Intracytoplasmic Sperm Injection (ICSI). Despite the proven efficacy of In Vitro Fertilisation (IVF) and ICSI, many factors can influence its success. In this review we present an analysis on the effect of Female age, Ovarian...Read More
Several studies show reductions in some seminal parameters in aged men and describe them as a consequence of many age-dependent changes in male organisms. This study aims to evaluate the impact of age on seminal parameters, particularly the DNA fragmentation index (DFI), and outcomes after in vitro fertilization (IVF) cycles. https://pubmed.ncbi.nlm.nih.gov/36897559/Read More
This study was conducted to investigate the relationship of semen parameters in samples used for intracytoplasmic sperm injection (ICSI) with fertilization and pregnancy rates in infertile couples. Methods In this prospective study of Infertile couples with male factor infertility that had undergone ICSI, fractions of the same semen samples obtained for microinjection (to ensure the...Read More
The Sperm Tracer
Sperm Tracer is a unique AI technological software that supports fertility experts and embryologists to evaluate, in real-time, the best sperm for ICSI procedures.
Each embryo carries 50% of the genetic information of an oocyte and 50% of a sperm. Every single sperm participating with 50% of the DNA cargo of the embryo, could play a detrimental role for the embryo itself and its quality.
If you believe you are among the pioneers, we may be able to help you reach even higher.
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