An overview of AI-PROGNOSIS work on digital biomarkers for tracking Parkinson’s disease symptoms and risk factors

Latest news from AI-PROGNOSIS

Reviewing the state of the art in predicting Parkinson's disease risk, progression, and treatment response

New analysis explores how combining genetic data can improve Parkinson's disease risk prediction

An updated framework supporting trustworthy AI development and evaluation in the project

How user research and co-creation support the development of AI-PROGNOSIS digital health tools

Digital biomarkers, AI and digital phenotyping for Parkinson’s disease research

Join this webinar to explore how artificial intelligence is being applied in Parkinson’s research, disease monitoring and future treatment development

Support groups, exercise classes, and online communities across the UK, Spain, Germany and France

AI-PROGNOSIS presented as a case study at Oxford's Future of Psychiatry event

The project’s Trustworthy AI development and evaluation framework was presented as a healthcare AI use case during an online training session

Partners met to review progress and discuss the project's path forward