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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: ApreciseKUre: an approach of Precision Medicine in a Rare Disease

Fig. 2

AKU-dedicated Precision Medicine Ecosystem. AKU patient data in the ApreciseKUre database are divided into various different levels: genetic, proteic, biochemical, histopathologic and clinical. Lifestyle and habitual information is also added to the total amount. Researchers, clinicians and patients could both easily access all the current information, as well as being able to insert new data, refreshing or replacing previous entries. Below you can consult Pearson’s correlations matrix, a refreshable correlation system aims to aid the discovery of AKU biomarkers. Orange values represent statistically significant correlations (ρ > 0,3). A biological interpretation is needed for a positive understanding and evaluatation of these results which could be useful not only for AKU but also offering food for thought to implement knowledge of networks between biomarkers, of other diseases and finally of biological used assays

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