Results 281 to 290 of about 30,391,045 (381)
ABSTRACT Objective To investigate the overall use of prescription medications among individuals with multiple sclerosis compared to the general population, with a focus on treatments beyond disease‐modifying therapies. Methods We conducted a nationwide, registry‐based study in Denmark.
Josefine Windfeld‐Mathiasen+4 more
wiley +1 more source
Experimental application of Business Process Management technology to manage clinical pathways: a pediatric kidney transplantation follow up case. [PDF]
Andellini M+6 more
europepmc +1 more source
Efgartigimod Combined With Steroid Treatment for HAM/TSP: A Case Report
ABSTRACT HTLV‐1‐associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive neurological disorder with limited treatment options. We report a 54‐year‐old female with decade‐long, progressive HAM/TSP, previously refractory to rituximab, who experienced worsening spastic paraparesis and neurogenic bladder dysfunction.
Jiahui Zeng+5 more
wiley +1 more source
Distributed Cognition and Process Management Enabling Individualized Translational Research: The NIH Undiagnosed Diseases Program Experience. [PDF]
Links AE+23 more
europepmc +1 more source
The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh+22 more
wiley +1 more source
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian+7 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