Neurology

Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning.

MiR-138 reprograms dental pulp stem cells into GABAergic neurons via the GATAD2B/MTA3/WNTs axis for stroke treatment.

Prolonged periods of ischemia and hypoxia pose significant challenges to exogenous stem cell transpl...

Fingernail-based metabolomics reveals a stepwise decline in dodecanoic acid associated with Alzheimer's disease progression.

BACKGROUND: Fingernail metabolomics provides a novel, non-invasive platform that captures long-term ...

Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...

A machine learning-driven transcriptomic study reveals the key role of Romo1 in reversing central sensitization through stellate ganglion block in migraine: An interventional study based on a recurrent migraine rat model.

OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model ...

Evaluating Dynamic Smile Outcomes of Free Gracilis Muscle Transfer in Pediatric Facial Palsy Using Image-Based Analysis.

BACKGROUND: Facial nerve palsy in children leads to significant functional impairment and facial asy...

AI fragment based optimization of saffron and chamomile phytochemicals as aryl hydrocarbon receptor inhibitors for dementia therapy an integrated computational approach.

Dementia represents a rapidly rising global health challenge as a progressive neurodegenerative dise...

A Dynamic Machine Learning Model to Predict Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND AND OBJECTIVES: The goal of this study was to develop a highly precise, dynamic machine l...

Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.

Delirium is a severe and common complication among critically ill patients, particularly those with ...

Evaluating predictive performance and generalizability of traditional and artificial intelligence models in predicting surgical site infections postspinal surgery: a systematic review.

BACKGROUND CONTEXT: Surgical site infections (SSIs) are a significant complication following spinal ...

Additive Manufacturing of Neuromorphic Systems.

Neuromorphic engineering aims to create brain-inspired computing systems based on synaptic electroni...

Machine learning approaches for improved understanding of factors associated with history of sport-related concussion.

Sport-related concussion (SRC), which accounts for a significant portion of all mild traumatic brain...

Comparison of the effects of robot-assisted gait training using FES versus virtual reality for stroke patients. A randomized clinical trial.

BACKGROUND: Robot-assisted gait training is becoming an effective alternative to therapist-assisted ...

The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.

OBJECTIVE: To study the association between cerebral small vessel diseases (CSVD) and unfavorable he...

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the t...

The role of neuro-imaging in multiple system atrophy.

Neuroimaging plays a crucial role in diagnosing multiple system atrophy and monitoring progressive n...

Characterizing aging-related genetic and physiological determinants of spinal curvature.

BACKGROUND: Increased spinal curvature is one of the most recognizable aging traits in the human pop...

Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease.

BACKGROUND: Interest in technologies for quantitative assessment of Parkinson's disease (PD) is grow...

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with ...

Neural correlates of evaluative bias against AI-labeled versus human-labeled artworks.

The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce cre...

Short-horizon neonatal seizure prediction using EEG-based deep learning.

Strategies to predict neonatal seizure risk have typically focused on long-term static predictions w...