A Conversational GPT Agent for Parkinson’s Disease
Objective: To create a conversational chat agent that can provide persons with Parkinson’s with information about their disease. Background: Artificial intelligence using Large Language Models…Advancing Interpretability in Parkinson’s Disease Voice Analysis: A Multilingual AI Approach
Objective: This study aims to advance the interpretability of machine learning (ML) models in the detection of Parkinson's Disease (PD) through a novel approach analyzing…Performance of a Smartphone-based Oculomotor Test as a Diagnostic Tool for Parkinson’s Disease
Objective: First, to ascertain whether a smartphone-based application measuring saccadic parameters can differentiate between patients with Parkinson’s disease (PD) and healthy controls (HC). Second, to…The Current State of Wearable Device Use in Parkinson’s Disease (A Survey of Individuals with Parkinson’s and Specialist Clinicians)
Objective: To develop a better understanding of the current use of consumer and medical wearable monitoring devices in the clinical management of PD and to…Development of a Beta-sensing Pathway in Deep brain stimulation to optimise utility of Local field potential recordings using the Percept system. (Newcastle Beta-sensing Algorithm – NBA)
Objective: To establish a pathway for utilisation of beta-sensing using the Percept technology which is applicable to real world clinical practice and optimises the utility…Telemonitoring-assisted DBS Optimization For Parkinson’s Disease Patients
Objective: This is a case report of Parkinson's disease (PD) patients who underwent deep brain stimulation (DBS) surgery and were remotely monitored using a validated…The Impact of Bilateral STN- Deep Brain Stimulation on Motor Symptoms and Quality Of Life in Advanced Parkinson’s Disease: A Single Center’s Experience
Objective: The aim of this study was to examine the effects of bilateral subthalamic nucleus (STN) deep brain stimulation (DBS) on motor symptoms and quality…Predicting Freezing of Gait (FoG) in Parkinson’s Disease from Conventional T1-Weighted MRI
Objective: To predict freezing of gait in individuals with Parkinson's disease using T1-weighted MRI and machine learning techniques. Background: Freezing-of-gait (FoG) is a debilitating condition…The functional and lipidome signature of GBA1 mutant dopaminergic neurons
Objective: The work presented here aims to link the lipidome changes leading to functional defects, and eventual cell death, in GBA1 mutant dopaminergic neurons derived…Exploring the Neuroprotective Effects of Diurnal Light Exposure in Early-Stage Parkinson’s Disease: A Longitudinal, Multi-Sensory Intervention Study
Objective: This study aims to explore the neuroprotective effects of controlled diurnal light exposure on neurodegeneration rates in early-stage PD patients, positing that light therapy…
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