Learning Hub article

Published in the Journal of Medical Internet Research (JMIR)

Developing AI for healthcare requires collaboration, not just coding

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

NTD joined the 41st Congress of the European Committee for Treatment and Research in Multiple Sclerosis in Barcelona

An interview with AI-PROGNOSIS coordinators on using AI, smartphones, and wearables to support Parkinson’s care

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

Learning Hub article

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