Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …

Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …

Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Parkinson's disease is a progressive and chronic neurodegenerative disorder. As the
dopamine-generating neurons in parts of the brain become damaged or die, people begin to …

Background An important challenge in Parkinson's disease research is how to measure
disease progression, ideally at the individual patient level. The MDS‐UPDRS, a clinical …

Wearable sensor technology continues to advance and provide significant opportunities for
improving personalized healthcare. In recent years, advances in flexible electronics, smart …

Objective assessment of Parkinson's disease symptoms during daily life can help improve
disease management and accelerate the development of new therapies. However, many …

Background Reduced arm swing is a well‐known clinical feature of Parkinson's disease
(PD), often observed early in the course of the disease. We hypothesized that subtle …

Background Parkinson's disease (PD) is a progressive neurological disease, with
characteristic motor symptoms such as tremor and bradykinesia. There is a growing interest …