Parkinson's disease is the second most common neurodegenerative disease and its
prevalence has been projected to double over the next 30 years. An accurate diagnosis of …

The development of interventions to slow or halt the progression of Parkinson's disease
remains a priority for patients and researchers alike. To date, no agents have been shown to …

Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

This Perspective explores the application of machine learning toward improved diagnosis
and treatment. We outline a vision for how machine learning can transform three broad …

Abstract Internet of Things (IoT) offers a seamless platform to connect people and objects to
one another for enriching and making our lives easier. This vision carries us from compute …

Abstract The World Health Organisation advocates Digital Health Technologies (DHTs) for
advancing population health, yet concerns about inequitable outcomes persist. Differences …

Remote health assessments that gather real-world data (RWD) outside clinic settings
require a clear understanding of appropriate methods for data collection, quality …

Importance Current Parkinson disease (PD) measures are subjective, rater-dependent, and
assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived …

Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …

Digital health technologies enable remote and therefore frequent measurement of motor
signs, potentially providing reliable and valid estimates of motor sign severity and …