The AI-PROGNOSIS project partners, Centre Hospitalier Universitaire de Toulouse (CHUT) and TUD Dresden University of Technology submitted the Digital biomarkers development, validation and verification study (dBM-DEV study) protocol for ethical approval.

The ethics submissions of Fundacion Iniciativa Para las Neurosciencias (Foundation for Initiatives in Neuroscience) and King's College London are set to follow in January 2024.

The first patient enrollment is scheduled for June 2024.

Introducing the Digital biomarkers development, validation and verification study (dBM-DEV study):

REM behaviour disorder (RBD) is the best predictor for neurodegenerative diseases with synuclein pathology, including Parkinson’s disease (PD). RBD affects 0.5-1 % of the general population. It can only be diagnosed by polysomnography, which is a cumbersome procedure that cannot be used for screening. An RBD screening questionnaire (RBDSQ) has been developed with high sensitivity but low specificity. Thus, digital assessments can potentially be used to identify people with a high probability of RBD for polysomnography to facilitate the detection of prodromal PD.

The study will be conducted on 90 participants who will undergo daily-life digital biomarker tracking. 

It is anticipated that the identification of robust dBMs in this study will have a favourable impact on the PD community in the future by enabling the daily-life detection and monitoring of PD symptoms, including the early signs of the disease, such as RBD.