


iPROLEPSIS: PSORIATIC ARTHRITIS INFLAMMATION EXPLAINED THROUGH MULTI-SOURCE DATA ANALYSIS GUIDING A NOVEL PERSONALISED DIGITAL CARE ECOSYSTEM
About iPROLEPSIS
Psoriatic Arthritis (PsA) is a chronic, progressive, inflammatory disease affecting 1-2% of the general population, while manifesting in up to 30% of people with psoriasis (PsO).
iPROLEPSIS OBJECTIVES:
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Discover PsA inflammation drivers through AI-driven health, environmental and omics data mining
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Develop and validate objective digital biomarkers for tracking inflammatory symptoms and disease activity
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Investigate the role of mast cells and features from non-invasive skin microvascular/joint imaging in inflammatory symptoms tracking
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Build trustworthy AI models for personalised PsA risk prediction, early diagnosis and high disease activity prognosis
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Develop ICT-based personalised interventions to sustain or even improve quality-of-life
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Develop and clinically validate the iPROLEPSIS digital health ecosystem to empower persons with/at risk of PsA and healthcare professionals
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Co-create the iPROLEPSIS ecosystem with key stakeholders, following ethical, inclusive and trustworthy AI principles
GENERAL INFORMATION:
Duration: 48 months
Start and end date: 2023 01 01 – 2026 12 31
Number of partners: 14
Total budget: € 6.48M