Apricity was delighted to participate in an important fertility event hosted by ESHRE, the European Society of Human Reproduction and Embryology. Every year, the conference is home to some of the most ground-breaking, exciting industry research and discussions. 2020’s annual meeting, its 36th year running, was held virtually between the 6th and 8th of July and attended by over 12,000 people.
Apricity has been proud in its position at the forefront of fertility research, debates and collaborations, there to improve the landscape for fertility treatment. In line with our mission, we believe in making treatment warmer, smarter, and more convenient.
This year, our AI team was proud to showcase a few of our projects within data science. Firstly, we spoke about our ongoing development of artificial intelligence to predict embryo (chromosomal) structure in a non-intrusive way. The traditional procedure involves the removal of several cells of the embryo during its development and is therefore invasive, while using machine learning techniques does not affect the embryo. Projects like ours are a first step in helping embryologists select more viable embryos in a less intrusive way, with the overarching goal of improving birth rates in assisted reproductive treatment (ART).
Secondly, we are working on setting standards in AI reporting within fertility care, so that treatment providers can collect and contribute data in the same way. Consistent, collaborative reporting would help reach greater numbers of data, which would in turn help assessment of the true success factors within ART become more accurate. As an industry, we could then make more informed decisions for patients undergoing treatment.
Our AI team has been working on collecting anonymous data for a number of years and using machine learning to derive valuable findings. One example of this is our Fertility Predictor (link), which uses close to half a million data points from the HFEA to help indicate the chances of pregnancy using various fertility treatments. This is based on age and fertility background.
Among our projects, we continue to ask how we can use data to better understand fertility. What information can we offer on factors such as sleep, stress, smoking or weight to help determine their real impact on fertility? We feel proud and privileged to be a part of these important discussions and look forward to working and sharing findings with patients, hospitals, clinics and universities, moving forward together as an industry.
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