IPROLEPSIS: Psoriatic Arthritis Inflammation explained through multi-source data analysis guiding a novel personalised digital care ecosystem

银屑病关节炎（PsA）是一种慢性进行性炎症性疾病，影响总人口的1-2%，而高达30%的银屑病（PsO）患者表现为此病。从健康到PsA的转变目前无法追踪；即使在PsO患者中，早期PsA的诊断也是具有挑战性的。不及时的诊断是常见的，导致生活质量的早期恶化，也增加了与PsA相关的多种合并症的负担。在这种情况下，iPROLEPSIS希望通过一个全面的多尺度/多因素PsA模型来阐明健康到PsA的转变，该模型采用新颖可信的基于人工智能的多源和异质（即深入的健康、环境、遗传、行为）数据分析，炎症症状的数字表型分析，重点是使用智能设备和可穿戴设备跟踪运动表现，新型基于光声成像的皮肤和关节PsA标记，研究肥大细胞在PsA转变中的作用，以确定疾病的关键驱动因素，并支持PsA风险/进展预测和监测以及相关炎症检测和严重程度评估的个性化模型。为了最终推进PsA诊断和护理，这些模型将被转化为一个数字健康生态系统，其中包括可靠的工具，可通过定量的、可解释的证据支持医疗保健专业人员进行疾病筛查、监测和治疗，并为PsA患者/高危人群提供量身定制的见解和基于可操作因素的预防性干预措施，以促进健康管理。该项目将遵循可信赖的道德、合法和强大的人工智能框架，以及基于关键利益相关者在数字卫生生态系统的设计、开发和测试过程中不断参与的以用户为中心的共同创造方法，引导其研发工作，确保后者成功整合到持续的护理中。

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). The transition from health to PsA is currently untraceable; diagnosis of early PsA is challenging even in PsO patients. Untimely diagnosis is common and contributes to early deterioration of quality of life, also increasing the burden of the multiple comorbidities associated with PsA. In this vein, iPROLEPSIS 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, behavioural) data, digital phenotyping of inflammatory symptoms with emphasis on tracking of motor manifestations using smart devices and wearables, novel optoacoustic imaging-based markers of PsA in the skin and joints, and investigation of the role of mast cells in the PsA transition, to identify key drivers of the disease and support personalized models for PsA risk/progression prediction and monitoring as well as associated inflammation detection and severity assessment. To ultimately advance PsA diagnosis and care, the models will be translated into a digital health ecosystem comprising dependable tools for supporting healthcare professionals in disease screening, monitoring and treatment via quantitative, explainable evidence, and empowering people with/at risk of PsA with tailored insights and preventive interventions based on actionable factors for educated health management. The project will steer its research and development efforts following a trustworthy framework for ethical, lawful, and robust AI, and a user-centered co-creation approach based on constant involvement of key stakeholders during the design, development, and testing of the digital health ecosystem, securing successful integration of the latter in the continuum of care.