iPROLEPS project objectives and work packages
Project aspires to shed light upon the health-to-PsA transition with a comprehensive multiscale / multifactorial PsA model employing novel trustworthy AI-based analysis of multisource and heterogenous (i.a., in-depth health, environmental, genetic, behavioral) data.
iPROLEPSIS consortium works on 7 ambitious key objectives in the field of Psoriatic Arthritis (PsA).
PsA inflamation drivers
Discover PsA inflammation drivers through AI-driven health, environmental and omics data mining.
Role of mast cells
Investigate the role of mast cells and features from non-invasive skin microvascular/joint imaging in inflammatory symptoms tracking.
Develop ICT-based personalised interventions to sustain or even improve quality-of-life.
Co-create the iPROLEPSIS ecosystem with key stakeholders, following ethical, inclusive and trustworthy AI principles.
Develop and validate objective digital biomarkers for tracking inflammatory symptoms and disease activity.
Trustwothy AI models
Build trustworthy AI models for personalised PsA risk prediction, early diagnosis and high disease activity prognosis.
Digital health ecosystem
Develop and clinically validate the iPROLEPSIS digital health ecosystem to empower persons with/at risk of PsA and healthcare professionals.
The 6 Work Packages of the project will bring together various and complementary expertise from consortium partners.
Work Package 1:
Management and coordination
WP1 is dedicated to project management and coordination aiming to enable a smooth project workflow;
Ensure optimal contractual, administrative, financial, scientific, technical, IP and innovation management;
Assure project quality and safeguard ethics, regulatory compliance and proper data management.