Results 181 to 190 of about 5,959,618 (329)
Term Familiarity to Indicate Perceived and Actual Difficulty of Text in Medical Digital Libraries
Gondy Leroy, J. E. Endicott
semanticscholar +1 more source
Durable B‐Cell Impairment While Sparing IgA B Cells After Ocrelizumab Therapy in Multiple Sclerosis
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
ABSTRACT Objective We aimed to investigate the comparative effectiveness of standard versus personalized extended interval dosing of anti‐CD20 therapy on clinical and sub‐clinical outcomes in multiple sclerosis. Methods Clinical information was collected prospectively on Research Electronic Data Capture.
Nabil K. El Ayoubi+6 more
wiley +1 more source
Graphic medicine in academic health science library collections. [PDF]
Chan J, Berg MH, Bullers K, Lue TY.
europepmc +1 more source
Health literacy and libraries: a literature review
Jill Barr-Walker
semanticscholar +1 more source
Repeat Expansions in PLIN4 Cause Autosomal Dominant Vacuolar Myopathy With Sarcolemmal Features
ABSTRACT Objective We aim to describe and characterize two unrelated Spanish families suffering from an autosomal dominant autophagic vacuolar myopathy caused by repeat expansions in PLIN4. Methods We evaluated the clinical phenotype and muscle imaging, and performed a genetic workup that included exome sequencing, muscle RNAseq, and long‐read genome ...
Laura Llansó+17 more
wiley +1 more source
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler+43 more
wiley +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
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