Health and Medicine for Russia

This work is the first in Russia and is dedicated to increase the effectiveness of infertility treatment by IVF using machine learning with additional molecular biological markers.
At the moment, the problem of infertility, according to WHO, is extremely relevant in the context of modern healthcare.
One of the most effective ways to treat infertility is to conduct IVF programs. However, the effectiveness of IVF treatment remains limited and averages 30%.
Considering that IVF programs are financed both by patients’ personal funds and by compulsory medical insurance, increasing the effectiveness of treatment can significantly not only improve the demographic situation, but also reduce government costs for such programs.
We have developed a software product based on machine learning, which with high sensitivity and specificity selects the highest quality and most promising embryo for transfer, thereby reducing the number of IVF attempts to achieve one pregnancy and increasing the effectiveness of treatment.