Mission
The AI-PROGNOSIS project aims to enhance the diagnosis and care of Parkinson’s disease (PD) through advanced predictive models and digital biomarkers sourced from everyday devices. By following a trustworthy and inclusive approach to AI development and leveraging multidisciplinary expertise and broad stakeholder engagement, the project strives to achieve its vision.
The project involves developing innovative AI models for personalised PD risk assessment and prognosis, which will predict disease progression and patients' responses to medication. These models will be based on multi-source patient records and databases, including comprehensive health, phenotypic, and genetic data.
The project will translate these models and digital biomarkers into a validated, privacy-aware AI-driven toolkit. This toolkit will support healthcare professionals in disease screening, monitoring, and treatment optimisation by providing quantitative, explainable evidence. It will also offer tailored insights to individuals with or without PD.
Expected Impact
This partnership will attract a wider audience, including stakeholders interested in heart failure, AI, and digital health innovations, thereby enhancing awareness of both projects and highlighting their goals, methodologies, and findings to a larger and more diverse group. Sharing experiences and insights between the two projects will lead to the adoption of best practices in AI development, risk prediction, and ethical considerations, fostering a collaborative learning environment. The synergy will facilitate networking among researchers, healthcare professionals, policymakers, and industry stakeholders from both projects, laying the groundwork for future collaborations, joint research initiatives, and cross-disciplinary partnerships.
Collaboration with Smart-Change
Planning events together, especially focusing on the webinar format, to match together the objectives of the SmartCHANGE project and the AI-PROGNOSIS project.
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Communication and Dissemination