Research & Development

 

We are assembling a team of top medical experts and scientists who are working on cutting-edge technology solutions in the area of advanced algorithmics, including artificial intelligence and machine learning algorithms. As a result, OvuFriend's algorithms are constantly improving, supporting women from puberty to sexual activity, through pregnancy seeking to menopause.  Self-learning algorithms analyze data and help women not only get pregnant faster, but also detect hormonal problems at an early stage, which in turn can affect fertility parameters.

OvuFriend learns each woman individually, working on even highly irregular cycles, determining ovulation and fertile days in a flexible yet highly effective way. When trying to get pregnant for a prolonged period of time, the woman is informed about the potential reasons for failure, so she can take the necessary steps to eliminate potential ailments and/or diseases faster.

In OvuFriend we implement research and development projects co-financed by the European Union from the European Regional Development Fund under the Operational Programme Intelligent Development 2014-2020:

 

Project completed: "Development of new on a global scale solutions in the area of machine learning supporting family planning and overcoming the problem of infertility”

Project in progress: "Development of novel solutions in the area of detection of common intimate and hormonal health conditions in women of reproductive age based on artificial intelligence and machine learning - OvuFriend 2.0"

 

 

Title "Development of globally new solutions in the area of machine learning supporting family planning and overcoming the problem of infertility"

Project Objective

ensuring high efficiency in supporting women in their efforts to become pregnant by developing novel technological solutions in the areas of advanced algorithmics and machine learning.

Achieved effects/benefits for OvuFriend users

• Effective support for women to get pregnant by learning women's fertility, detecting fertile days and ovulation for cycles even very difficult to interpret, and reducing barriers to using the system.
• Detecting fertility problems at a very early stage and supporting the woman after detecting fertility problems.

Value of the project: 1 020 759,18 EUR
European Funds contribution: 796 247,76 EUR
Date of implementation: 01.02.2018-30.07.2020

Title "Development of innovative solutions in the area of detection of common intimate and hormonal health conditions in women of reproductive age based on artificial intelligence and machine learning - OvuFriend 2.0"

Project objective
To develop a system based on AI algorithms for assessing the risk of women suffering from the following disorders or ailments: hormone-related menstrual disorders (thyroid disease, PCOS, hyperprolactinemia), anatomical and hormone-related intermenstrual spotting (myomas, polyps, luteal phase incompetence), premenstrual syndrome.

Planned effects/benefits for OvuFriend users

• Detection of hormonal and anatomical problems at a very early stage (thyroid disorders, PCOS, hyperprolactinemia, myomas, polyps, luteal phase incompetence, premenstrual syndrome)
• Early detection of the potential impact of these conditions on pregnancy problems
• Support women not planning a pregnancy to monitor their hormonal health up to and including menopause.

Project value: 1 222 753,33 EUR
Contribution of European Funds: 892 360,00 PLN
Implementation date: 1.05.2021-31.10.2023