Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-based generative AI designs novel compounds... read more
BMC medical informatics and decision making
Mar 21, 2026
BACKGROUND: Tuberculous pericardial effusion (TPE) presents significant diagnostic challenges due to its nonspecific clinical presentation and similarities with other types of pericardial effusion. The available data on the use of artificial intellig... read more
Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities during intraoperative emergencies. The physical separation of the surgeon from the patient, restricted access due to docking, and dependence on complex te... read more
Electricity theft is one of the primary contributors of non-technical losses in contemporary power grids, and traditional centralized methods of detection are limited in scale, feature a large communication cost, and create privacy issues. The presen... read more
This paper introduces ESC.AI (Enhanced Smart Commuting with Artificial Intelligence), an intelligent and integrated safety framework designed to improve health monitoring, environmental awareness, behavioral detection, driver supervision, and route o... read more
Rapid post-event assessment of earthquake damage is essential for resilient emergency response and risk mitigation. We present a multi-scenario deep learning framework that uses stacked LSTM and a hybrid LSTM-RNN to (i) forecast structural response v... read more
The rapid integration of Industry 4.0 technologies offers new pathways for Chinese manufacturers to reconcile operational efficiency with environmental stewardship. Grounded in the Natural Resource-Based View (NRBV), this study investigates how digit... read more
Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare systems worldwide, and unplanned reoperations following initial surgery are critical events influencing clinical prognosis. Current predictive tools for ... read more
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