This study investigates household air pollution from biomass combustion by integrating a household survey, experimental stove testing, and data-driven analysis. A structured survey of 1200 households captured socio-economic conditions, cooking practi... read more
The discovery of selective immunosuppressants for T cell-mediated diseases like Ulcerative Colitis (UC) is a significant challenge. While traditional screening is inefficient, Artificial intelligence (AI)-driven approaches are often hindered by the s... read more
BACKGROUND: Visual interpretation of microbial colonies on agar plates is an essential task for experienced microbiologists. In high-throughput workflows and large-scale screening, automated image-based methods can provide decision-support capabiliti... read more
OBJECTIVE: To systematically evaluate the diagnostic performance of artificial intelligence (AI) models for hepatocellular carcinoma (HCC) and to pool sensitivity and specificity using a diagnostic meta-analysis, with further assessment of the robust... read more
BACKGROUND: Artificial intelligence can standardize periapical assessment, but few studies map pixel-level segmentation to clinically interpretable Periapical Index (PAI) categories under a unified protocol. METHODS: We retrospectively assembled 900 ... read more
BACKGROUND: The objective of this study is to investigate parental utilization of smartphones, engagement with social media, and adoption of artificial intelligence tools in child-rearing practices, alongside analyzing their children's technology con... read more
Animal-borne cameras are increasingly used to study animal behavior. Here, we assessed the utility of three machine-learning models: Resnet-50 (3 epochs), Resnet-50 (10 epochs), and Vision Transformer (ViT) (3 epochs) for identifying breathing behavi... read more
Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironment (TME). A dense/stiff extracellular matrix (ECM) can hinder immune cell infiltration, limiting the... read more
Accurate quantification of components with spectral imaging (e.g., hyperspectral and Raman) is fundamentally challenged by nonlinear mixing effects. To overcome the limitations of model-specific traditional algorithms, we propose P4NSU, a deep learni... read more
Computer methods in biomechanics and biomedical engineering
May 18, 2026
Preeclampsia (PE) remains a leading cause of maternal and perinatal mortality worldwide, and the combined use of Shuangjiang Decoction with Labetalol hydrochloride (SJD-Labetalol) has shown promising therapeutic efficacy in clinical settings. However... read more
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