Aside from pain (see our most recent post) and now fatigue, what else endometriosis related do ...
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
Why does pain steal my youth?
How much time do think you’ve lost due to endometriosis pain and what have you ...
Female project news
WP4: OMICS will present 3 abstracts!
Of the 13 total abstracts that FEMaLe will present at #WCE2023 , WP4: OMICS will present ...
Female project news
FEMaLe’s WP3 will present preliminary results in early May!
Of the 13 total abstracts that FEMaLe will present at #WCE2023 we’re extremely proud that ...
Female project news
13 abstracts accepted for WCE2023!
Spanning multiple work packages, disciplines and countries, we are proud to have 13 abstracts ...