With #endometriosis being a disease that takes notoriously long to diagnose, is rarely talked ...
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
Adviser Highlight – Pepijn van de Ven
Next in the valued adviser line is Pepijn van de Ven. Pepijn van de ...
Female project news
Why do I faint so often?
#Endometriosis affects millions worldwide, yet it’s still shrouded in misconceptions and stigma. Emma has ...
Female project news
I’ve been to six different doctors. Why can’t they find anything?
How many doctors have you, or someone you know, been to on the road ...
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Adviser Highlight – Katarina Steinfeldt
“We have to change the narrative of endometriosis by focusing on when the patients ...