Machine learning for large‐scale wearable sensor data in Parkinson's disease: Concepts, promises, pitfalls, and futures
For the treatment and monitoring of Parkinson's disease (PD) to be scientific, a key
requirement is that measurement of disease stages and severity is quantitative, reliable, and …
requirement is that measurement of disease stages and severity is quantitative, reliable, and …
Closing the loop for patients with Parkinson disease: where are we?
Although levodopa remains the most efficacious symptomatic therapy for Parkinson disease
(PD), management of levodopa treatment during the advanced stages of the disease is …
(PD), management of levodopa treatment during the advanced stages of the disease is …
Efficient RT-QuIC seeding activity for α-synuclein in olfactory mucosa samples of patients with Parkinson's disease and multiple system atrophy
CMG De Luca, AE Elia, SM Portaleone… - Translational …, 2019 - Springer
Background Parkinson's disease (PD) is a neurodegenerative disorder whose diagnosis is
often challenging because symptoms may overlap with neurodegenerative parkinsonisms …
often challenging because symptoms may overlap with neurodegenerative parkinsonisms …
Develo** and validating Parkinson's disease subtypes and their motor and cognitive progression
Objectives To use a data-driven approach to determine the existence and natural history of
subtypes of Parkinson's disease (PD) using two large independent cohorts of patients newly …
subtypes of Parkinson's disease (PD) using two large independent cohorts of patients newly …
Data-driven subty** of Parkinson's disease using longitudinal clinical records: a cohort study
Parkinson's disease (PD) is associated with diverse clinical manifestations including motor
and non-motor signs and symptoms, and emerging biomarkers. We aimed to reveal the …
and non-motor signs and symptoms, and emerging biomarkers. We aimed to reveal the …
The Personalized Parkinson Project: examining disease progression through broad biomarkers in early Parkinson's disease
BR Bloem, WJ Marks, AL Silva de Lima, ML Kuijf… - BMC neurology, 2019 - Springer
Background Our understanding of the etiology, pathophysiology, phenotypic diversity, and
progression of Parkinson's disease has stagnated. Consequently, patients do not receive …
progression of Parkinson's disease has stagnated. Consequently, patients do not receive …
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning
KA Severson, LM Chahine, LA Smolensky… - The Lancet Digital …, 2021 - thelancet.com
Background Parkinson's disease is heterogeneous in symptom presentation and
progression. Increased understanding of both aspects can enable better patient …
progression. Increased understanding of both aspects can enable better patient …
An rnn architecture with dynamic temporal matching for personalized predictions of parkinson's disease
Parkinson's disease (PD) is a chronic disease that develops over years and varies
dramatically in its clinical manifestations. A preferred strategy to resolve this heterogeneity …
dramatically in its clinical manifestations. A preferred strategy to resolve this heterogeneity …
Finding useful biomarkers for Parkinson's disease
Finding useful biomarkers for Parkinson’s disease | Science Translational Medicine news
careers commentary Journals Science Science brought to you byGoogle Indexer Log in science …
careers commentary Journals Science Science brought to you byGoogle Indexer Log in science …
Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD
Objective We sought to identify motor features that would allow the delineation of individuals
with sleep study-confirmed idiopathic REM sleep behavior disorder (iRBD) from controls and …
with sleep study-confirmed idiopathic REM sleep behavior disorder (iRBD) from controls and …