Enhancing in vitro fertilization with environmental optimization using artificial intelligence (EIVF-AI)

Facts

Contact person:: Reza Khoshkangini
Financer:: Vinnova
Responsible at MaU:: Reza Khoshkangini
Collaborators :: Kristianstad University Skåne Region-RMC Lab Oppenlagger
Time frame:: 01 August 2024 - 01 August 2027
Faculty/department:: Department of Computer Science and Media Technology
Research environment :: Sustainable Digitalisation Research Centre
Research subject:: Computer Science

Artificial Intelligence Machine Learning IVF
Website:: Improving in vitro fertilization with environmental optimization using artificial intelligence

About the project

The aim of EIVF-AI is to establish a system that identifies patterns and correlations between environmental elements in IVF clinics and the development of embryos. Through the integration of various sensor data and AI technologies, our ultimate goal is to improve the probability of successful pregnancies. Improving IVF success rates offers a significant opportunity to address critical global issues related to fertility, family planning, mental health and socioeconomic equality. Advances in IVF technology can significantly improve people's quality of life worldwide. The urgency of the project is emphasized by the European health sector's oversight of global IVF success rates, which currently vary between 30% and 50%.