Results 151 to 160 of about 466,412 (376)

Multiple Sclerosis Detection in Multispectral Magnetic Resonance Images with Principal Components Analysis [PDF]

, 2008
This paper presents a local feature vector based method for automated Multiple Sclerosis (MS) lesion segmentation of multi spectral MRI data. Twenty datasets from MS patients with FLAIR, T1,T2, MD and FA data with expert annotations are available as ...
Kroon, D.J., Oort, E.S.B. van, Slump, C.H.   +2 more
core   +1 more source

Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics

Advanced Materials, EarlyView.
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi, Yadi Fan, Qin Zhang, Yingying Huang, Mo Yang   +4 more
wiley   +1 more source

The effects of intermittent fasting for patients with multiple sclerosis (MS): a systematic review. [PDF]

Front Nutr, 2023
Lin X, Wang S, Gao Y.
europepmc   +1 more source

The gut-brain-axis one year after treatment with cladribine tablets in patients with relapsing remitting multiple sclerosis: a pilot study

Frontiers in Immunology
IntroductionCladribine tablets are an effective treatment for relapsing remitting multiple sclerosis (RRMS). However, almost half of the treated patients are not free of disease activity after two years.
Jeske van Pamelen, Jeske van Pamelen, Carla Rodriguez-Mogeda, Lynn van Olst, Susanne M. A. van der Pol, Maarten L. Boon, Janet de Beukelaar, Oliver H. H. Gerlach, Oliver H. H. Gerlach, Andries E. Budding, Joep Killestein, Helga E. de Vries, Leo H. Visser   +12 more
doaj   +1 more source

CURING MS: How science is solving the mysteries of multiple sclerosis By Howard L. Weiner 2004. New York: Crown Publishers. Price $24.95 ISBN 0-609-60900-9 [PDF]

, 2005
Reinhard Hohlfeld, Hartmut Wekerle
openalex   +1 more source

Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications

Advanced Materials Technologies, EarlyView.
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin, Houxin Fan, Zhenchao Liu, Paolo Donati, Youssef Amin, Yap Wing Fen, Junbo Liang, Pier Paolo Pompa, Sailing He   +8 more
wiley   +1 more source

ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results [PDF]

arXiv
This report summarizes the outcomes of the ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation (MSLesSeg). The competition aimed to develop methods capable of automatically segmenting multiple sclerosis lesions in MRI scans. Participants were provided with a novel annotated dataset comprising a heterogeneous cohort of MS patients, featuring
arxiv  

Bilirubin Targeting WNK1 to Alleviate NLRP3‐Mediated Neuroinflammation

Advanced Science, EarlyView.
At physiological concentrations, bilirubin binds to the kinase domain of WNK1, thereby augmenting its activity and facilitating the phosphorylation of downstream SPAK/OSR1. This phosphorylation inhibits KCC2 activity, leading to elevate intracellular chloride levels in neurons.
Linfei Mao, Jiayu Lu, Quanjun Yang, Zhenqi Liu, Cuiping Wu, Bingbing Ke, Kaiyan Su, Haolin Yuan, Yaqi Cui, Yao Wang, Richard Salvi, Guang Yang, Shankai Yin, Feng Liu, Chunyan Li   +14 more
wiley   +1 more source

SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints [PDF]

arXiv
Assessment of lesions and their longitudinal progression from brain magnetic resonance (MR) images plays a crucial role in diagnosing and monitoring multiple sclerosis (MS). Machine learning models have demonstrated a great potential for automated MS lesion segmentation. Training such models typically requires large-scale high-quality datasets that are
arxiv  

Potential Role of Humoral Immunity in the Pathogenesis of Multiple Sclerosis (MS) and Experimental Autoimmune Encephalomyelitis (EAE) [PDF]

, 2006
Maria del Pilar Martin, Nancy Monson
openalex   +1 more source