Results 191 to 200 of about 957,336 (307)

Performance of Composite Endpoints Defining Progression Independent of Relapse Activity in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The characteristics and utility of composite progression independent of relapse activity (cPIRA; worsening on the Expanded Disability Status Scale [EDSS], or 9‐Hole Peg Test, or Timed 25‐Foot Walk Test) were evaluated as an endpoint in relapsing multiple sclerosis (RMS) trials using the ENSEMBLE (NCT03085810) and pooled OPERA I/II ...
Ludwig Kappos   +11 more
wiley   +1 more source

Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Ocrelizumab (OCR), a humanized anti‐CD20 monoclonal antibody, is highly efficient in relapsing–remitting multiple sclerosis (RR‐MS). We assessed early cellular B‐cell profiles in patients prior to OCR treatment, on OCR treatment, and after 15 months of therapy discontinuation.
Alexandra Garcia   +20 more
wiley   +1 more source

Interpolating with generalized Assouad dimensions. [PDF]

open access: yesJ Geom Anal
Banaji A, Rutar A, Troscheit S.
europepmc   +1 more source

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji   +11 more
wiley   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano   +5 more
wiley   +1 more source

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