UTILIZING DIGITAL BIOMARKERS FOR THE MONITORING AND MANAGEMENT OF PARKINSON DISEASE

Abstract

Technological advancement has led to a notable surge of interest in the integration of digital technologies
into medical care, particularly within the realm of chronic diseases. Quantitative metrics derived from digital
health technology (DHT) have the potential to serve as Digital Biomarkers (DBs), facilitating the continuous
and quantitative monitoring of disease symptoms, even outside clinical settings. This capacity extends to the
ongoing and precise assessment of treatment responses, presenting an opportunity for swift adaptations
in medication pathways. Moreover, the integration of DBs generated by wearable devices into innovative
decision support systems holds promise for enhancing longitudinal disease management, complementing
existing standard practices. Furthermore, these novel biomarkers not only advance diagnostic capabilities
but also contribute to predicting clinical outcomes. As a result, the emergence of DBs holds considerable
promise, representing a transformative force in precision neurology.