One of the most important processes of the in-vitro fertilization cycle, perhaps the most crucial of all, is the embryo transfer.
Once fertilization is achieved in the lab, the resulting embryo must be implanted back into the uterus of the patient. Only those embryos fit enough will be able to implant correctly, achieving pregnancy
ERICA analyses every embryo, looking into details impossible to see for the human eye, and helping the embryologist determine which one is better suited for transfer with a 92.5% success rate.
The key to ERICA and its artificial intelligence algorithm for assisted reproduction resides in its impartial approach.
Its protocol does not discriminate parameters, internal or external, and it adapts on the go to improve its results. This model determines by itself which elements are more important to make a precise evaluation of each embryo.
Traditional embryology identifies and subjectively analyze 3 parameters through the eyes of each embryologist, opening the procedure to human error.
ERICA identifies and analyzes more than 20 parameters with multiple variables, most of them invisible to the human eye, and uses its ample and growing database to evaluate with higher accuracy the viability of each embryo.
Want to learn more about ERICA and its applications, how can it improve the success rate of your lab or fertility clinic, or would you like to collaborate with the development and research of ERICA? Leave a message.