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 …

The miniaturization, sophistication, proliferation, and accessibility of technologies are
enabling the capture of more and previously inaccessible phenomena in Parkinson's …

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 …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

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

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

Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …

Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …