CORDIS Project
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The FEMaLe project aims to enhance the detection and management of endometriosis through a Scalable Multi-Omics Platform that utilizes patient data to create personalized predictive models. It focuses on developing mobile health applications and clinical decision support tools to improve patient outcomes and facilitate…
The framework 'P4 Medicine' (predictive, preventative, personalized, participatory) was developed to detect and prevent disease through close monitoring, deep statistical analysis, biomarker testing, and patient health coaching to best use the limited healthcare resources and produce maximum benefit for all patients.
However, we have seen only few feasible examples over the past 10 years.
The Finding Endometriosis using Machine Learning (FEMaLe) project will revitalise the concept to develop and…
AARHUS UNIVERSITET
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Hungary, Budapest
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
United Kingdom, Oxford
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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