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...
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 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,...
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...
The euploidy of embryos is unpredictable before transfer in in vitro fertilisation (IVF) treatments without pre-implantation genetic testing (PGT). Previous studies have suggested that morphokinetic characteristics using an artificial intelligence (AI)-based model in the time-lapse...
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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