Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review. [PDF]
Mobtahej P +6 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
TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG. [PDF]
Fatima N, Nabi G.
europepmc +1 more source
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai +28 more
wiley +1 more source
ADAT novel time-series-aware adaptive transformer architecture for sign language translation. [PDF]
Shahin N, Ismail L.
europepmc +1 more source
Coupling behaviors of quarter-wavelength impedance transformers for wideband CPW bandpass filters
Lei Zhu, Huamin Shi, Wolfgang Menzel
openalex +2 more sources
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging. [PDF]
Wa SRG, Tian H, Xiao X, Liu N, Tian H.
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
A lightweight transformer-based hybrid encoder-decoder model for chest X-ray medical report generation. [PDF]
Ucan M, Kaya B, Kaya M, Alhajj R.
europepmc +1 more source

