ORIGINAL RESEARCH
Accepted on 19 Jan 2026
Towards an understanding of real-world mobility in Parkinson's: insights from enhanced contextualisation using GPS-derived location and data-driven modelling of walking speed
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- Frontiers in Aging Neuroscience
- Parkinson’s Disease and Aging-related Movement Disorders
- Research Topics
- Machine Learning Revolutionizing Aging-Related Movement Disorder Diagnostics
Machine Learning Revolutionizing Aging-Related Movement Disorder Diagnostics
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Articles
ORIGINAL RESEARCH
Published on 05 Jan 2026
Machine learning models for the prediction of levodopa response to tremor in Parkinson’s disease
doi 10.3389/fnagi.2025.1690155
- 957 views
ORIGINAL RESEARCH
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Abnormal subthalamic nucleus functional connectivity and machine learning classification in Parkinson’s disease: a multisite functional magnetic resonance imaging study
doi 10.3389/fnagi.2025.1695806
- 848 views
ORIGINAL RESEARCH
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Diagnostic classification of mild cognitive impairment in Parkinson's disease using subject-level stratified machine-learning analysis
doi 10.3389/fnagi.2025.1687925
- 1,626 views
ORIGINAL RESEARCH
Published on 14 Oct 2025
Quantitative analysis of gait and balance using deep learning on monocular videos and the timed up and go test in idiopathic normal-pressure hydrocephalus
doi 10.3389/fnagi.2025.1644543
- 1,880 views
ORIGINAL RESEARCH
Published on 05 Sep 2025
Explainable machine learning for early detection of Parkinson’s disease in aging populations using vocal biomarkers
doi 10.3389/fnagi.2025.1672971
- 3,205 views
Published in
Frontiers in Aging Neuroscience
Parkinson’s Disease and Aging-related Movement Disorders
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