Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conventional phenotyping methods and molecular biology techniques exhibit limitations, including low sensitivity and operational complexity. Here, we pres... read more
The integration of artificial intelligence (AI) into infection surveillance represents a significant shift in public health; however, most AI frameworks and implementation guidance neglect the distinct constraints of low- and middle-income countries ... read more
BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subtypes. Unfortunately, some studies show that less than half of youth (<18 years) experience improveme... read more
Deep learning has significantly advanced the development of high-performance methods for protein function prediction. Nonetheless, even for state-of-the-art deep learning approaches, template information remains an indispensable component in most cas... read more
Clinical artificial intelligence (AI) applications frequently fail to transition from short-term pilot projects into sustained components of routine clinical care, a phenomenon referred to in this viewpoint as the pilot trap. This persistent gap refl... read more
As the adoption of acoustic sensing grows in speech recognition, health monitoring, and the Internet of Things, the limited broadband response of flexible acoustic sensors has become a significant challenge. This study presents a novel acoustoelectri... read more
Aging is a fundamental biological process that influences cancer development in a context-dependent manner; however, how aging-related programs manifest in hepatocellular carcinoma (HCC) remains incompletely understood. Here, we systematically charac... read more
This research develops an automated methodology for detecting and assessing deformation pavement distress such as rutting and corrugation, using deep learning algorithms. Utilizing a dataset of road images, various YOLO algorithms were initially expl... read more
Under the dual challenges of global climate change and agricultural sustainability, spatially precise characterization of agricultural nitrogen surplus has become a key technical bottleneck in balancing food security and water environmental protectio... read more
Respiratory disease classification using lung sound analysis offers a non-invasive and cost-effective diagnostic alternative to traditional imaging-based methods. This study proposes a deep learning-based optimization framework for automated respirat... read more
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