What's the Problem?

One of the greatest challenges in assisted reproduction is determining which embryo has the potential to actually achieve pregnancy. Since its beginnings, in the 1960, and to date there have been numerous technological advances that have enhanced these techniques. However, today, embryo selection continues to be an aggravated problem. Embryologists base their decision on morphological aspects, and this determines which embryo should be transferred to the mother's womb or cryopreserved. This practice is subjective, not parameterized or comparable between operators, which is why it lacks precision; resulting in that only 25% of the more than 5 million annual procedures manage to conceive a baby in the first instance.

How are they Solving it?

Embryoxite is developing a system to diagnose, classify and select embryos based on layers of information derived from the embryonic development. Each layer of information represents a diagnosis on an aspect of the embryo. We are working on the metabolomic diagnostics and we will relate it to the clinical information of the patients, with the results obtained from the procedures of in vitro fertilization, diagnostic imaging and in the genetic diagnosis of embryos. With all this information, we will develop AI algorithms with the aim of providing a score of implantation prediction, to help the professional make a decision upon the embryo that could have the best implantation score.

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