Results 71 to 80 of about 6,263,559 (236)

Profile and burden of the family caregiver: the caring experience in multiple sclerosis. An observational study

open access: yesBMC Psychology
Background The broad implications of caring for a family member with a chronic medical condition, such as MS, can lead caregivers to experience a high burden of care.
Michela Ponzio   +5 more
doaj   +1 more source

Group sequential designs for negative binomial outcomes [PDF]

open access: yesStatistical Methods in Medical Research, 2018, https://journals.sagepub.com/doi/abs/10.1177/0962280218773115, 2017
Count data and recurrent events in clinical trials, such as the number of lesions in magnetic resonance imaging in multiple sclerosis, the number of relapses in multiple sclerosis, the number of hospitalizations in heart failure, and the number of exacerbations in asthma or in chronic obstructive pulmonary disease (COPD) are often modeled by negative ...
arxiv   +1 more source

Peripheral blood biomarkers in multiple sclerosis. [PDF]

open access: yes, 2015
Multiple sclerosis is the most common autoimmune disorder affecting the central nervous system. The heteroge-neity of pathophysiological processes in MS contributes to the highly variable course of the disease and unpre-dictable response to therapies ...
Acheson   +298 more
core   +1 more source

Socioeconomic status of the elderly MS population compared to the general population: a nationwide Danish matched cross-sectional study

open access: yesFrontiers in Neurology, 2023
Introduction/objectivesMultiple sclerosis (MS) leads to physical and cognitive disability, which in turn impacts the socioeconomic status of the individual.
Malthe Faurschou Wandall-Holm   +5 more
doaj   +1 more source

Global well-posedness and nonlinear stability of a chemotaxis system modeling multiple sclerosis [PDF]

open access: yesarXiv, 2020
We consider a system of reaction-diffusion equations including chemotaxis terms and coming out of the modeling of multiple sclerosis. The global existence of strong solutions to this system in any dimension is proved, and it is also shown that the solution is bounded uniformly in time.
arxiv  

Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients [PDF]

open access: yesarXiv, 2021
Multiple Sclerosis (MS) and microvascular leukoencephalopathy are two distinct neurological conditions, the first caused by focal autoimmune inflammation in the central nervous system, the second caused by chronic white matter damage from atherosclerotic microvascular disease.
arxiv  

Coincident onset of multiple sclerosis and herpes simplex virus 1 encephalitis. a case report [PDF]

open access: yes, 2017
Background: Along with vitamin D, smoking, body mass index and others, Epstein Barr virus, other herpesviruses and human endogenous retroviruses represent plausible environmental risk factors for multiple sclerosis.
Buscarinu, M. C.   +7 more
core   +2 more sources

Efficacy of intrathecal mesenchymal stem cell-neural progenitor therapy in progressive MS: results from a phase II, randomized, placebo-controlled clinical trial

open access: yesStem Cell Research & Therapy
Background Mesenchymal stem cell-neural progenitors (MSC-NPs) are a bone marrow mesenchymal stem cell (MSC)-derived ex vivo manipulated cell product with therapeutic potential in multiple sclerosis (MS).
Violaine K. Harris   +11 more
doaj   +1 more source

The association of selected multiple sclerosis symptoms with disability and quality of life: a large Danish self-report survey

open access: yesBMC Neurology, 2021
Background People with multiple sclerosis (MS) experience a wide range of unpredictable and variable symptoms. The symptomatology of MS has previously been reported in large sample registry studies; however, some symptoms may be underreported in ...
S. Gustavsen   +6 more
doaj   +1 more source

Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods [PDF]

open access: yesarXiv, 2020
Lesion segmentation is a core task for quantitative analysis of MRI scans of Multiple Sclerosis patients. The recent success of deep learning techniques in a variety of medical image analysis applications has renewed community interest in this challenging problem and led to a burst of activity for new algorithm development.
arxiv  

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