Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Speech is a rich and non-invasive source of clinical information, potentially providing digital biomarkers for neurological disorders such as Parkinson’s disease (PD). Impaired articulation and reduced intelligibility are among the most pervasive PD symptoms, which has motivated research into automated, objective quantification of speech deficits. This study investigated whether metrics derived fr...
Cognitive decline affects approximately 40% of Parkinson’s disease (PD) patients within 10 years of diagnosis, progressing to dementia in 80% of patients after 20 years. Early detection of cognitive changes is crucial for timely intervention and care planning. Clinical notes contain rich, longitudinal information about cognitive symptoms that may precede formal diagnosis, yet this unstructured dat...
Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among entities (e.g., genes, diseas...
Cognitive decline affects up to 80% of Parkinson’s disease (PD) patients, significantly impacting quality of life. Speech changes occur early in PD an...
Adaptive deep brain stimulation has enabled machine learning models to track motor states from neural signals with improved accuracy, aiming to provid...
Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely understood pathways. Evidence suggests contributions ...
This study introduces an innovative sex-stratified methodology for the identification of Parkinson’s disease (PD) using vertical ground reaction force...
Sleep disorders pose a major global health burden and are associated with a wide range of adverse health outcomes. Polysomnography (PSG) is the gold s...
We present a Bayesian machine learning framework integrating genetic, molecular, and wearable sensor biomarkers for precision medicine in Parkinson’s ...
Can self-supervised speech foundation models (SFMs) be used for automatic patient metadata extraction, even when no prior demographic information is a...
Gait impairment is a characteristic motor deficit of Parkinson’s disease (PD) and a critical but insufficiently understood target of deep brain stimul...
Parkinson’s disease (PD) involves variable patterns of brain atrophy in different motor and cognitive regions that differ across patients in both loca...
Parkinson’s disease (PD) is characterized by substantial heterogeneity in progression patterns, posing major challenges for individualized prognosis a...
In this study, we investigated whether individual brain maps of natural frequencies derived from EEG can serve as physiologically meaningful biomarker...
Parkinson’s Disease (PD) is the most prevalent neurodegenerative disorder after Alzheimer’s, yet its diagnosis largely relies on subjective clinical a...
INTRODUCTION: Obsessive-Compulsive Personality Disorder (OCPD) is a complex mental condition marked by excessive perfectionism, orderliness, and rigid...
Nanomedicines are nanoscale, biocompatible materials that offer promising alternatives to conventional treatment options for brain disorders. The rece...
UNLABELLED: Despite the growing body of research on Parkinson's disease (PD) and insomnia, comprehensive analysis of overall research trends remains ...
Parkinson's disease (PD) is a common and debilitating neurodegenerative disorder. The inflammatory response is essential in the pathogenesis and progr...
Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, but not preventative, treatment is available. Drug r...