Dietary and Environmental Risk factors of Parkinson’s Disease: An integrated study combining Network Pharmacology and Molecular Docking Analyses
Objective: This large-scale case-control study using network pharmacology and molecular docking, aimed to identify dietary and environmental risk factors of Parkinson’s disease (PD). Background: PD…Towards automated deep brain stimulation programming using neurophysiology and artificial intelligence
Objective: To develop a machine learning (ML) algorithm capable of predicting the optimal deep brain stimulation (DBS) contact based on neurophysiology. Background: DBS is an…Wearable-based Virtual Motor Exam enables remote tracking of motor symptom progression in early-stage Parkinson’s disease
Objective: To evaluate the ability of smartwatch-based measures of tremor, bradykinesia and gait to capture Parkinson’s disease (PD) progression. Background: Wearable sensors enable remote, objective,…Effectiveness of Interactive Rhythmic Stimulation on Gait Improvement in Elderly Patients: An R and Python Perspective
Objective: To evaluate the effectiveness of interactive rhythmic stimulation on gait improvement in elderly patients using data-driven insights from R and Python-based analyses. Background: Gait…Case report and Literature Review on Atypical Parkinson’s Disease
Objective: Atypical parkinsonism is classified as a subgroup of Progressive neurodegenerative diseases, characterized by symptoms of Parkinson's disease. Background: Progressive supra nuclear palsy of the…Empathy in Action A Sensory Experience for Healthcare Providers
Objective: Evaluate the impact of a multisensory, hands-on experience designed to simulate the motor and non-motor symptoms of Parkinson’s disease (PD) on healthcare providers’ (HCPs)…A Novel Dopaminergic Modulator (NDM-101) as an Adjunct to Levodopa: Enhancing Motor Control Without Worsening Dyskinesia in Parkinson’s Disease
Objective: To evaluate the efficacy and safety of NDM-101 as an adjunct to levodopa in reducing OFF-time, improving motor function, and maintaining quality of life…AI-Driven Prediction Models for Advanced Parkinson’s Disease: A Data-Driven Approach Using PPMI and CDEPA Criteria
Objective: To develop machine learning models that predict advanced Parkinson’s disease (APD) by integrating quantitative clinical data from the Parkinson’s Progression Markers Initiative (PPMI) with…Hospitalization Safety in Parkinson’s Disease (PD): Baseline Outcomes Tracked over 1 Year and a Multi-disciplinary Program to Improve Care
Objective: To report baseline hospitalization outcomes in PD and the development of a comprehensive program for quality improvement. Background: Hospitalization is common in PD and…Improving Guitar Strumming Mechanics in Parkinson’s Disease: A Case Series Using a Forearm Stabilization Device
Objective: This case series aims to explore the potential benefits of a guitar adaptation in enhancing mechanics of guitar strumming among this patient sample. Specifically,…
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