Results 191 to 200 of about 3,337,492 (248)
Disentangled Assembly Graphs Reveal Hidden Eukaryotic Diversity in eDNA Metagenomic Data. [PDF]
Geerts MM +4 more
europepmc +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
hStouffer: the enhanced meta-analysis method for the comprehensive analysis of large-scale RNA-seq data. [PDF]
Kim D +12 more
europepmc +1 more source
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Overcoming missing data in spatial metabolomics with machine learning imputation to accelerate downstream discovery. [PDF]
Feng T +8 more
europepmc +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
Camouflaged object detection via context and texture-aware hierarchical interaction. [PDF]
Wang Z, Deng Y, Shen C, Zhang M, Lu X.
europepmc +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

