Results 121 to 130 of about 4,823,962 (372)
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
This study analyzes the differences between the category structure of the Universal Decimal Classification (UDC) system (which is one of the widely used library classification systems in Europe) and Wikipedia.
Gao, Cheng+3 more
core +1 more source
Using IODyne: Illustrations and Examples [PDF]
"IODyne (pronounced ""iodine"") is an Internet client program that allows one to retrieve information from servers by dynamically combining information objects.
Johnson, Eric H.
core
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
SOUL: Scala Oversampling and Undersampling Library for imbalance classification
The improvements in technology and computation have promoted a global adoption of Data Science. It is devoted to extracting significant knowledge from high amounts of information by means of the application of Artificial Intelligence and Machine Learning
Néstor Rodríguez+4 more
doaj
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
<i>dh2loop</i> 1.0: an open-source Python library for automated processing and classification of geological logs [PDF]
Ranee Joshi+4 more
openalex +1 more source