The Danish supercomputer Gefion will be used to analyze data from studies on women’s health issues, including menstrual cycles, infertility, and endometriosis. The goal is to gain a better understanding of these conditions and develop new treatments.

David Westergaard, a lecturer at the Technical University of Denmark (DTU) and head of Data Science at the Gynecology-Obstetrics Department at Amager and Hvidovre Hospital, is leading the collaboration with the Danish Centre for AI Innovation (DCAI), which granted access to the supercomputer.

Westergaard emphasizes that research into women’s diseases has been historically underrepresented due to the complexity of women’s biology. Hormonal fluctuations during the menstrual cycle, pregnancies, and the menopausal phase create more complex data sets.

Gefion will enable researchers to integrate and analyze data sets in new ways, running sophisticated models in minutes instead of days or weeks. This enhanced capability will allow for deeper insights into women’s health and potential new treatments.

Historically, researchers have avoided studying women’s health due to its complexity and resource demands. However, the advanced capabilities of Gefion now provide an opportunity to delve into these previously challenging areas of research.