Advancements in Digital Biomarkers and Remote Monitoring for Parkinson's Disease Management

This systematic review explores the emerging role of digital biomarkers and remote monitoring in Parkinson's Disease management. Synthesized using Synthory.AI, the review evaluates 105 studies from 2018 to 2025, focusing on wearable sensors, machine learning applications, gait analysis, and precision care. Findings demonstrate significant progress in symptom quantification and personalized care, with strong correlations between sensor-derived metrics and clinical assessments. Despite promising results, challenges such as small sample sizes, methodological inconsistencies, and usability barriers persist. Future research should emphasize diverse cohorts and standardized methodologies to enhance clinical applicability and patient outcomes.