The development of a screening tool to identify movement disorders in patients with inborn errors of metabolism
Objective: To develop a user-friendly rapid screening tool for non-movement disorder specialists to detect movement disorders in patients with inborn errors of metabolism. Background: Movement…Developing infrastructure for a multi-arm multi-stage trial in Parkinson’s
Objective: To scope and develop infrastructure for the first multi-arm multi-stage (MAMS) platform trial for Parkinson’s disease, the Edmond J Safra ACT-PD initiative (EJS ACT-PD).…Funding and Sustainability Challenges in Multi-Arm Multi-Stage Clinical Trials in Parkinson Disease
Objective: The Edmond J Safra Accelerating Clinical Trials in Parkinson Disease (PD) initiative (EJS ACT-PD) aims to accelerate the identification of disease modifying treatment for…Aquatic Physical Therapy: Effects on Functional Mobility in people with Parkinson’s Disease
Objective: Evaluate the effects of Aquatic Physical Therapy (APT) on the functional mobility of individuals with Parkinson's disease (PD). Background: PD is neurodegenerative, idiopathic, and…A Scoping Review of Multidisciplinary Care in Tourette Syndrome
Objective: To review current multidisciplinary care practices in patients with Tourette syndrome (TS). Background: Individuals with TS can have multiple symptoms and co-morbidities and require…Cognitive-motor tests markedly increase the diagnostic rate of “On-meds” freezing of gait in Parkinson’s disease during clinical visits
Objective: To develop a testing and recording system that can reliably increase the rate of diagnosing freezing of gait (FOG) in patients living with Parkinson’s…Treatment Selection in Multi-Arm Multi-Stage Clinical Trials in Parkinson Disease: The Search for the Ideal Neuroprotective Drug
Objective: The Edmond J Safra Accelerating Clinical Trials in Parkinson disease (PD) initiative (EJS ACT-PD) aims to accelerate the identification of disease modifying treatments for…Deep learning applied to retinal OCT images to differentiate Parkinson’s disease patients from healthy controls
Objective: This study aims to investigate the capability of artificial intelligence, more precisely deep convolutional neural networks (CNN), to automatically classify between healthy controls (HC)…It takes a village: An interdisciplinary care model for atypical Parkinsonism
Objective: To describe one interdisciplinary clinic designed to offer comprehensive care to patients with atypical parkinsonism syndromes, and to share the lessons learned which may…Nutritional Status of Patients with Parkinson’s Disease: Report from Indonesian Tertiary Referral Hospital
Objective: This study aimed to describe and determine the prevalence of nutritional status in outpatient Parkinson’s Disease (PD) patients. Background: Parkinson’s disease is the most…
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