Explainable deep learning based detection of Parkinson’s changes in MRI brain scans
Objective: A pilot study using an AI-based framework to classify routine brain scans as Parkinson’s disease (PD) or control. Background: Prospective neuroprotective treatments for PD…Brain FDG-PET-MRI for early diagnosis of corticobasal syndrome
Objective: To characterize brain fluorodeoxyglucose (FDG) PET-MRI findings in patients with corticobasal syndrome (CBS) and evaluate its utility in early diagnosis of Corticobasal Degeneration (CBD)…Predictive model for Identification of device-aided therapy (DAT) Candidates in Parkinson´s Disease (DELIST-PD Study)
Objective: To develop a classification algorithm based on machine learning to identify candidates for device-aided therapy among patients with Parkinson's disease (PD). Background: DATs (deep…Correlation between fatigue, sleep dysfunction and health-related quality of life in Parkinson’s disease patients
Objective: To determine the correlation between fatigue, sleep dysfunction and health-related quality of life in Parkinson’s disease (PD) patients. Background: Fatigue and sleep dysfunction are…Obesity is a protective factor for the development of Parkinson’s disease in participants of the Framingham Heart Study Cohort
Objective: To determine the role of obesity in the development of Parkinson's disease in a retrospective matched cohort study. Background: Parkinson’s disease (PD) is a…How do recently diagnosed individuals with Parkinson’s self-monitor their Parkinson’s symptoms between consultations?
Objective: To determine how recently diagnosed people with Parkinson's monitor their Parkinson's symptoms in between medical consultations. Background: Patients monitoring symptoms and reporting them accurately…Safety profile of pimavanserin therapy in elderly patients with neurodegenerative disease-related neuropsychiatric symptoms: a Phase 3b study
Objective: To evaluate the safety profile of pimavanserin in patients with neuropsychiatric symptoms related to neurodegenerative disease (NDD). Background: Patients with NDD including Parkinson’s disease…Risk and protective factors in Parkinson’s disease: a simultaneous and prospective study with linear and machine learning models
Objective: To identify which risk/protective factors influenced most incident Parkinson's disease (PD) risk in a population of almost 24,000 Italian citizens, using both classical statistical…Potential genetic link between type I diabetes and Parkinson’s disease.
Objective: To examine whether type 1 diabetes (T1D) is genetically or causally associated with Parkinson’s disease (PD). Background: Previous epidemiological and mendelian randomization studies demonstrated…Taking the driver’s seat on Parkinson’s care
Objective: To provide insight into the unique service and support offered by the multidisciplinary health team to address the challenges and dilemmas faced by people…
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