Results 141 to 150 of about 8,013,557 (321)
ABSTRACT Objective Natalizumab (NTZ) is a highly effective therapy for multiple sclerosis (MS); however, its use is limited by the risk of a rare potentially severe opportunistic brain infection, progressive multifocal leukoencephalopathy (PML). Alternative dosing strategies are evaluated to reduce PML risk while still maintaining efficacy, which ...
Regina Berkovich +10 more
wiley +1 more source
The time dimensional reduction method to determine the initial conditions without the knowledge of damping coefficients [PDF]
Thuy T. Le +3 more
openalex +1 more source
Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality‐Based Evaluation System
ABSTRACT Objective Cerebellar ataxia impairs coordination and balance, reducing quality of life. Conventional clinical scales, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), are widely used to assess ataxia but are limited by subjectivity and inter‐rater variability ...
Masayuki Sato +5 more
wiley +1 more source
Contrastive inverse regression for dimension reduction [PDF]
Sam Hawke, Hengrui Luo, Didong Li
openalex +1 more source
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu +9 more
wiley +1 more source
Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
Multi‐Omics Integration for Advancing Glioma Precision Medicine
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia +4 more
wiley +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions [PDF]
Alexandros-Stavros Iliopoulos +2 more
openalex +1 more source

