Correlative imaging is a powerful analytical approach in bioimaging, as it offers complementary information on the samples measured by different modalities. Particularly, correlative transmission electron microscopy (EM) and nanoscale secondary ion m...
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...
BACKGROUND: Depressive symptoms and multiple chronic diseases (MCDs) significantly contribute to the global disease burden among middle-aged and older adults, while few studies have considered the long-term dynamics of depressive symptoms or employed...
Monoclonal antibodies (mAbs) serve as indispensable tools in diagnostics, clinical therapeutics, and biomedical research. However, their large-scale production faces significant challenges due to the high costs and lengthy timelines associated with c...
Neutrophils are the most abundant type of white blood cells in the immune system and play a complex and intricate regulatory role in disease progression. Their critical contribution to maintaining homeostasis through migration, activation, and progra...
UNLABELLED: ChatGPT-4 is a widely used large language model that provides instant answers to a variety of health-related questions in different medical fields. This study aims to evaluate the reliability, quality, accuracy, and readability of ChatGPT...
OBJECTIVES: Accurate tooth numbering and restoration detection on periapical radiographs in mixed dentition are critical to the treatment planning process. They also improve the speed and accuracy of treatment processes by automating the early diagno...
BACKGROUND AND OBJECTIVES: Mandibular reconstruction following continuity resection due to tumor ablation or osteonecrosis remains a significant challenge in maxillofacial surgery. Virtual surgical planning (VSP) relies on accurate segmentation of th...
BACKGROUND: Large language models (LLMs) demonstrate increasing potential in healthcare applications, yet their clinical utility in specialized pediatric medicine remains inadequately characterized. This study evaluated LLM performance in pediatric u...
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