Results 191 to 200 of about 504,050 (265)
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Graph attention networks-based prediction of MicroRNA-disease causality in head and neck neoplasms. [PDF]
Yadalam PK +3 more
europepmc +1 more source
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
Clustered Federated Spatio-Temporal Graph Attention Networks for Skeleton-Based Action Recognition. [PDF]
Yu T, Pinto S, Gomes T, Tavares A, Xu H.
europepmc +1 more source
Diabetes‐Associated Cognitive Impairment: Pathophysiology and Emerging Therapies
ABSTRACT Diabetes‐associated cognitive impairment (DACI) is a common yet underrecognized condition, manifesting along a spectrum from mild cognitive impairment to dementia. DACI encompasses patients who develop vascular dementia (VaD) or Alzheimer's disease (AD) with diabetes as a risk factor; however, in certain patients, particularly those lacking ...
Osman Corbali +4 more
wiley +1 more source
Deep spatial attention networks for vision-based pavement distress perception in autonomous driving. [PDF]
Deng F, Jin J.
europepmc +1 more source
Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
KnvResGAT: SARS-CoV-2 sequence classification using k-mer natural vector and graph attention networks. [PDF]
Yu W, Deng Y, Li Z, Dong W.
europepmc +1 more source
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
Hybrid optimization-based quantum-driven multi-relational graph attention networks for enhanced cyber attack detection in medical IoT networks. [PDF]
Krishna Kumari R +8 more
europepmc +1 more source

