Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: The prefrontal cortex (PFC) is an important node for action planning in the frontopariet...
BACKGROUND: Alzheimer's disease (AD) has a major negative impact on people's quality of life, life, ...
INTRODUCTION: Ischemic stroke greatly threatens human life and health. Neuro-restoration is consider...
Alzheimer's disease (AD), a neurological disorder, is one of the major reasons for memory loss in th...
BACKGROUND: Pyroptosis, a specific type of programmed cell death, which has become a significant fac...
BACKGROUND: Vaccines development in this millennium started by the milestone work on Neisseria menin...
BACKGROUND: The incidence and mortality of first-ever strokes have risen sharply, especially in the ...
BACKGROUND: Alzheimer's Disease is a neurodegenerative condition leading to irreversible and progres...
Interictal epileptiform discharges (IEDs) such as spikes and sharp waves represent pathological elec...
Smart city development is a complex, transdisciplinary challenge that requires adaptive resource use...
AIMS: Few personalized monitoring models for valproic acid (VPA) in pediatric epilepsy patients (PEP...
The rich dynamics of magnetic materials makes them promising candidates for neural networks that, li...
Traditional tactile brain-computer interfaces (BCIs), particularly those based on steady-state somat...
In an effort to increase access to neuroscience education in underserved communities, we created an ...
BACKGROUND AND OBJECTIVE: Early identification of post-stroke cognitive impairment (PSCI) is an impo...
The realm of precision medicine, particularly its application within various sectors, shines notably...
INTRODUCTION: Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary and dynamic...
OBJECTIVE: In the current study, to demonstrate the advantages of oblique lateral interbody fusion (...
Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...
First spike timings are crucial for decision-making in spiking neural networks (SNNs). A recently in...
In this paper, a recurrent neural network is proposed for distributed nonconvex optimization subject...