Blood flow monitoring is fundamental for assessing cardiovascular health and identifying vascular complications. Traditional Doppler ultrasound methods require bulky equipment and specialized expertise, while recent thermal sensing approaches face li... read more
Artificial intelligence (AI) scribes, software that can convert speech into concise clinical documents, have achieved remarkable clinical adoption at a pace rarely seen for digital technologies in health care. The reasons for this are understandable:... read more
BACKGROUND: General anesthesia comprises 3 essential components-hypnosis, analgesia, and immobility. Among these, maintaining an appropriate hypnotic state, or anesthetic depth, is crucial for patient safety. Excessively deep anesthesia may lead to h... read more
Accurate disease diagnosis requires analyzing multiple biomarkers in a single sample to improve diagnostic precision and guide treatment. However, the simultaneous detection of three or more proteases in a sample, especially with a single probe, rema... read more
ConspectusViral proteases are essential enzymes required for viral replication and assembly, making them prime antiviral drug targets. However, under the selective pressure of protease inhibitors, viruses can acquire mutations that reduce drug bindin... read more
In this study, we report the design and analytical validation of a glyphosate nanosensor based on the modulation of upconversion emission from NaYF4:Yb3+/Er3+ nanoparticles. The sensing mechanism relies on a rapid and straightforward interaction betw... read more
Biogenic amines (BAs) serve as critical indicators of food spoilage, necessitating portable and real-time monitoring approaches to ensure food safety. To this end, we developed a P-QDot-based fluorescence/colorimetric (FL/CL) dual-mode sensor array i... read more
PURPOSE: Traditional methods of vertebral identification have predominantly relied on relative approaches, depending on discernible landmarks. Artificial Intelligence (AI) has emerged as a transformative force in radiology, aiming to augment the work... read more
High-fidelity surface electromyography (sEMG) acquisition under dynamic conditions is critical for rehabilitation, sports monitoring, and human-machine interaction. Conventional electrodes often suffer from poor compliance, weak adhesion, and unstabl... read more
Journal of chemical information and modeling
Feb 6, 2026
Accurate and rapid prediction of protein-ligand binding affinities is critical for drug discovery, particularly when evaluating large chemical libraries or new drug molecules from high-throughput generative models. We present UCBbind, a hybrid framew... read more
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