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

IPROLEPSIS：通过多源数据分析解释银屑病关节炎炎症，指导新型个性化数字护理生态系统

• 批准号: 10069573
• 金额: $ 55.8万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10069573
• 关键词: IPROLEPSIS; Psoriatic; Arthritis; Inflammation; explained

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.

银屑病关节炎（PsA）是一种慢性、进行性、炎症性疾病，影响1-2%的一般人群，同时在高达30%的银屑病（PsO）患者中表现出来。从健康到PsA的转变目前无法追踪;即使在PsO患者中，早期PsA的诊断也具有挑战性。不及时的诊断是常见的，并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。在这方面，iPROLEPSIS希望通过全面的多尺度/多因素PsA模型阐明健康到PsA的过渡，该模型采用新颖的基于可信AI的多尺度和异质性分析（即，深入的健康、环境、遗传、行为）数据，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，皮肤和关节中PsA的新型基于光声成像的标记物，以及肥大细胞在PsA转变中的作用的研究，识别疾病的关键驱动因素，并支持用于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的诊断和护理，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，用于支持医疗保健专业人员通过定量，可解释的证据进行疾病筛查，监测和治疗，并为患有PsA/有风险的人提供量身定制的见解和预防干预措施，这些干预措施基于可操作的因素，用于受过教育的健康管理。该项目将遵循一个值得信赖的道德，合法和强大的人工智能框架，以及一种以用户为中心的共同创造方法，该方法基于关键利益相关者在数字健康生态系统的设计，开发和测试过程中的不断参与，确保后者在护理连续性中的成功整合。