Voltage-gated sodium (NaV) channels are vital regulators of electrical activity in excitable cells. Given their importance in physiology, NaV channels are key therapeutic targets for treating numerous conditions, yet developing subtype-selective drug...
Accurate subcellular segmentation is crucial for understanding cellular processes, but traditional methods struggle with noise and complex structures. Convolutional neural networks improve accuracy but require large, time-consuming, and biased manual...
BACKGROUND AND OBJECTIVES: The brain-predicted age difference (brain-PAD) is a novel marker of neurodegeneration in multiple sclerosis (MS). Brain-PAD has been associated with clinical disability in heterogeneous MS patient cohorts of varying ages an...
ACS biomaterials science & engineering
Dec 18, 2025
The skeletal system exhibits remarkable mechanical properties, serving as the primary supportive framework in vertebrates. Dysregulation of bone metabolic activity can alter bone quality and quantity, leading to skeletal deformity, pain, or disease. ...
British journal of hospital medicine (London, England : 2005)
Dec 18, 2025
Interstitial lung disease (ILD), a common manifestation of systemic sclerosis (SSc), has the highest organ-specific morbidity and mortality, particularly in patients with diffuse cutaneous SSc (dcSSc). Recent advances in diagnostics-including artific...
Omics approaches have emerged as indispensable tools in unravelling the intricate molecular landscape of cardiovascular disease (CVD) by providing comprehensive insights into the underlying mechanisms driving CVD pathogenesis, progression, and respon...
Machine learning (ML) is an artificial intelligence tool that focuses on learning by generating models using established algorithms that represent a given dataset. It can be used as a predictive tool for students' academic performance (AP) at both un...
Cortical arousals are brief brain activations that disrupt sleep continuity and contribute to cardiovascular, cognitive, and behavioral impairments. Although polysomnography is the gold standard for arousal detection, its cost and complexity limit us...
In this study, we have applied advanced masked language models (MLMs)-BERT, DistilBERT, ELECTRA, and RoBERTa-to infer missing and misinterpreted values in comprehensive family register data. Our data compiles Daegu-bu household register books, trienn...
The study of stress hyperglycemia ratio (SHR) aims to further investigate the relationship between chronic glucose factors and adverse clinical events, particularly cardiovascular outcomes, in critically ill patients. However, prior research has not ...
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