Retraction Statement: Atypical parkinsonism and self-mutilation: A new lens on the old concept. [PDF]
europepmc +1 more source
Atypical Parkinsonism with Pathological Dopamine Transporter Imaging in Neuronal Ceroid Lipofuscinosis Type 5. [PDF]
Lange LM +6 more
europepmc +1 more source
Greater locus coeruleus vulnerability in atypical clinicopathologic forms of Alzheimer's disease
Abstract INTRODUCTION The locus coeruleus (LC) degenerates early in Alzheimer's disease (AD). However, the extent of rostrocaudal degeneration across clinicopathologic heterogeneity remains underexplored in AD. METHODS Using digital pathology, we quantified LC neuronal density and area at three neuroanatomic levels in a large AD series.
Sara Rose Dunlop +16 more
wiley +1 more source
Ethnic Differences in Atypical Parkinsonism-is South Asian PSP Different? [PDF]
Balint B +8 more
europepmc +1 more source
Higher prevalence of idiopathic normal pressure hydrocephalus-like MRI features in progressive supranuclear palsy: An imaging reminder of atypical parkinsonism. [PDF]
Fu MH +8 more
europepmc +1 more source
Abstract Alzheimer's disease and related dementias (ADRD) affects millions of patients worldwide and is a leading cause of morbidity in older adults. Patients with ADRD are particularly susceptible to developing urinary tract infection (UTI) and UTI‐related delirium, creating a self‐perpetuating cycle in which ADRD increases vulnerability to infection ...
Sarah Kim +3 more
wiley +1 more source
Novel SLC9A6 Variation in Female Carriers With Intellectual Disability and Atypical Parkinsonism. [PDF]
Nan H +7 more
europepmc +1 more source
Research priorities in limb and task-specific dystonias [PDF]
Altenmüller, Eckart +13 more
core +2 more sources
Machine learning methods for predicting adverse drug events: A systematic review
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo +8 more
wiley +1 more source

