AI-PROGNOSIS has published its final report on digital biomarkers for Parkinson’s disease.

The report presents the development of digital biomarkers for tracking Parkinson’s disease symptoms and risk factors, including results from the AI-PROGNOSIS dBM-DEV study.

The work focuses on motor and non-motor symptoms, including rest tremor, slowness of movement, dyskinesias, REM Sleep Behaviour Disorder, daytime somnolence, physical activity, gross motor function, and cognitive function.

The report describes approaches using data from wearables, smartphone interaction, and digital active tests. It also summarises the development and validation activities carried out across several digital biomarker areas.

The report includes:

• Digital biomarkers related to sleep, movement, physical activity, and cognitive function

• Methods using wearable sensors, smartphone-based data, and active digital assessments

• Results from the AI-PROGNOSIS dBM-DEV study

• Work related to Parkinson’s disease monitoring and predictive modelling

  
  

This work forms part of the AI-PROGNOSIS activities on digital biomarkers for Parkinson’s disease monitoring.

Read the full report on Zenodo: https://zenodo.org/records/21102959