Results 171 to 180 of about 456,084 (310)
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source
Selective labeling via error bound minimization
, 2012 In many practical machine learning problems, the acquisition of labeled data is often expensive and/or time consuming. This motivates us to study a problem as follows: given a label budget, how to select data points to label such that the learning ...
Han, Jiawei +3 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Sampled Graph-Signals: Iterative Recovery with an Analytic Error Bound
, 2017 Recovery of graph signals from a limited number of sampled components is investigated. An iterative recovery algorithm is motivated and derived, including an analytic upper bound for the error.
Görtz, Norbert
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Fuzzy fractional modeling and analysis of stochastic Fokker Planck equations under uncertainty and memory effects. [PDF]
Sci RepQayyum M +6 more
europepmc +1 more source
An Empirical Demonstration of the Probabilistic Upper Bound of the Adaptive Boosting Test Error
, 2016 Statistical machine learning uses data to model a relationship between many parameters, or explanatory variables, and a response variable. The adaptive boosting algorithm is a machine learning method that can be used to model relationships of ...
Houston, Paige
core
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source