Steps matter for endometriosis research. FEMaLe project – together with Danish endometriosis patient association, ...
About FEMaLe
Finding Endometriosis using Machine Learning is a Horizon2020 project with focus entirely on improving diagnosis, prevention and care in endometriosis. The FEMaLe project will build bridges across disciplines and sectors to translate genetic and epidemiological knowledge into clinical tools that support decision-making in terms of diagnosis and care aimed at both general practice and highly specialized endometriosis clinics – all via machine learning and artificial intelligence.
Project’s goals
Awareness
Increasing education and disease awareness for patients, public & healthcare providers will increase timely & accurate diagnosis and treatment, and allow for new advancements.
Research
The research activities such as data collecting & analysis and identifying patterns and models within FEMaLE will have in view the scientific utility and value.
Innovation
FEMaLe will create opportunities for further improvement of outcomes by developing predictive biomarkers of risk, prognosis and treatment response.
Resources
One of the main FEMaLe project’s goals is to generate knowledge.
The publications created by the project’s researchers will be published here soon.
FEMale Video Explainer
Latest News
Female project news
FEMaLe webinar: Young People and Endometriosis
FEMaLe project’s Coordinator Mr. Ulrik Bak Kirk, has been a part of the panel ...
Female project news
French National Action Plan
In early January 2022, the French President, Emmanuel Macron, launched the first Action Plan ...
Female project news
FEMaLe project’s Animated Explainer video
FEMaLe project’s partner Web Bay, has, as a part of their Communication & Dissemination ...
Female project news
FEMaLe Correlate event and website co-creation
FEMaLe’s interdisciplinary and inclusive team of experts gathered at the beautiful venue of ARoS ...