OBJECTIVE: Periodontitis (PD) and oral squamous cell carcinoma (OSCC) frequently co‑occur in clinical populations. However, shared molecular determinants that could support risk assessment across diseases remain insufficiently defined. This study aim... read more
BACKGROUND: Intrahepatic cholangiocarcinoma (iCCA) is an aggressive malignancy originating from the epithelial lining of second-order bile ducts. Despite advances in immunotherapy, which underscore the pivotal roles of T-cell dynamics and tumor micro... read more
BACKGROUND: Sepsis is common and deadly, and subtypes are proposed to guide precision treatment. However, little is known about the uncertainty in subtype classification, and its implications for trajectory and treatment response. METHODS: In multipl... read more
PURPOSE OF REVIEW: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in vari... read more
PURPOSE OF REVIEW: Recent literature describes the deployment of different artificial intelligence (AI) technologies to potentially support infection prevention and control (IP&C) in both the community and healthcare environment. However, most studie... read more
The American journal of emergency medicine
Jan 19, 2026
PURPOSE: Artificial intelligence systems known as large language models are being evaluated for clinical decision support, yet their role in emergency and primary care remains limited. Physicians in these settings often encounter ear, nose, and throa... read more
Detection of high precision skin lesions, especially melanoma, are still a major challenge in medical imagination due to their close visual equality and lack of reliably labeled datasets. In this study, we introduce a deep learning sketch aimed at ba... read more
Journal of colloid and interface science
Jan 19, 2026
Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capabilities, and high ionic mobility, which enable energy-efficient and highly controllable memristive ... read more
Neural networks : the official journal of the International Neural Network Society
Jan 19, 2026
Graph neural networks (GNNs) and graph transformers (GTs) perform well in graph-related tasks, but their potential is often limited in semi-supervised settings due to label scarcity. Although robust encoders and pre-training tasks enhance performance... read more
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