Pain is a complex multidimensional experience that integrates sensory and emotional components, presenting significant challenges for accurate assessment in clinical practice. Traditional methods of pain evaluation rely on subjective self-reporting a... read more
BACKGROUND: Smart patch healthcare devices are emerging as a distinct user interface in decoding the bidirectional interaction of the five sense organs. Powered by recent advancements in nano-materials, and artificial intelligence predictions, smart ... read more
BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuries of the knee. While adding a T2 mapping sequence to this protocol increases sensitivity for detecting early cartilage lesions, it is time-consuming.... read more
BACKGROUND: Dementia and Parkinson's disease (PD) are among the most prevalent neurological disorders globally. Most previous research has focused on these two diseases in isolation; however, their co-occurrence has rarely been examined, limiting und... read more
BACKGROUND: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder. This study aims to identify biomarkers associated with glutamine metabolism-related genes (GRGs) and mitochondria-related genes (MRGs) in AD through bioinformatics analys... read more
Angewandte Chemie (International ed. in English)
Jan 15, 2026
Direct cytosolic delivery of nanoparticles offers advantages by circumventing the endocytic pathway, thereby reducing associated intracellular trafficking barriers. Several methods facilitate translocation across the cell membrane, including passive ... read more
Advanced materials (Deerfield Beach, Fla.)
Jan 15, 2026
Neuromorphic in-memory computing has emerged as one of the forerunners in addressing the data deluge problem in this age of smart electronics and artificial intelligence. Memristor crossbar arrays are fundamental storage and processing hardware frame... read more
A gradient-boosting based atomic-charge scheme, BoostCha, is introduced. The BoostCha model operates in three steps: it first predicts pseudo-charges for individual atoms based on their local environments, represented by three-dimensional descriptors... read more
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