AI can support better Parkinson’s care, but patients and healthcare professionals want to make sure it’s trustworthy

Study initiation package sets the stage for validating digital biomarkers in Parkinson’s disease

Early steps towards tracking motor and non-motor symptoms using wearables, smartphones, and digital tests

Showcasing ongoing research at the International Symposium of Gait and Posture Research in Maastricht

Developing AI for healthcare requires collaboration, not just coding

From co-creation workshops to functional prototypes for patients, caregivers, and clinicians

AI-PROGNOSIS study presented at EMBC2025 explores wrist-worn sensor data for daily monitoring of Parkinson’s symptoms

AI-PMP study moving forward with ethics approvals in progress

Early recruitment progress and study foundations for digital biomarker validation in Parkinson’s disease

Towards AI-driven tools for estimating risk, tracking progression, and predicting treatment response

Three EU-funded projects exploring real-world data, wearables, and personalised care in healthcare innovation

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