Results 301 to 310 of about 11,885,573 (368)

Annual 12‐Week Dosing Gap of Natalizumab: Clinical Efficacy, Blood Biomarkers, and CSF Cell Composition

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Natalizumab (NTZ) is a highly effective therapy for multiple sclerosis (MS); however, its use is limited by the risk of a rare potentially severe opportunistic brain infection, progressive multifocal leukoencephalopathy (PML). Alternative dosing strategies are evaluated to reduce PML risk while still maintaining efficacy, which ...
Regina Berkovich   +10 more
wiley   +1 more source

Parabolic Schrödinger networks. [PDF]

open access: yesHeliyon
Smyrna C A, Nathiya N.
europepmc   +1 more source

Relapsing–Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammation, demyelination, and neurological impairment. While the gut microbiota's role in MS is extensively studied, the association between the oral microbiota and MS remains underexplored, particularly in North American cohorts.
Sukirth M. Ganesan   +12 more
wiley   +1 more source

Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality‐Based Evaluation System

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebellar ataxia impairs coordination and balance, reducing quality of life. Conventional clinical scales, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), are widely used to assess ataxia but are limited by subjectivity and inter‐rater variability ...
Masayuki Sato   +5 more
wiley   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong   +7 more
wiley   +1 more source

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