A new AI-PROGNOSIS-related open-access publication has been published in the Journal of Parkinson’s Disease

From research to digital health tools

Join the upcoming webinar exploring patient perspectives on the use of AI in Parkinson’s care

New AI-PROGNOSIS publication presents an analysis of wrist accelerometry–based digital biomarkers for capturing motor changes associated with medication adjustments in Parkinson’s disease

Exploring ethical aspects of using artificial intelligence in Parkinson’s disease management from the perspective of people with Parkinson’s

Three AI-PROGNOSIS apps: mAI-Health, mAI-Care and mAI-Insights

Latest news from AI-PROGNOSIS

New AI-PROGNOSIS publication presents a deep learning framework for tremor detection and assessment using wearable sensors

A poster presented in Rotterdam highlighted work on harmonising Parkinson’s disease research data to the OMOP Common Data Model

Jamie Luckhaus presented AI-PROGNOSIS patient panel perspectives on the ethical dimensions of predictive AI

A joint video highlighting how digital biomarkers and real-world data support patient-centred healthcare across three disease areas

Presentation to Advanced Practice of Neurological Physiotherapy MSc students