Artificial Intelligence Medical Compendium

Mastitis represents one of the most formidable challenges in modern dairy farming, posing significant threats to individual cow health and causing substantial economic losses throughout the dairy production chain. Traditional disease diagnosis method... read more 

Gene regulatory networks (GRNs) model key gene interactions, enabling the understanding of essential biological processes and their relationship with diseases. Inferring GRNs from expression data is fundamental in computational biology. However, exis... read more 

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex inflammatory disease whose environmental pathogenic factors remain unclear. Microplastics, as emerging environmental pollutants, have been confirmed to deposit in the respiratory tract an... read more 

BACKGROUND AND OBJECTIVE: The fluorescence resonance energy transfer (FRET) two-hybrid assay enables quantification of the stoichiometry and binding affinity of protein interactions directly in living cells, but its broader application remains constr... read more 

BACKGROUND: Accurately forecasting patient arrivals in hospital emergency departments (EDs) is critical for hospital capacity and planning and clinical decision-making. Artificial intelligence (AI), particularly machine learning (ML) and deep learnin... read more 

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constructs cultured with human mesenchymal stem cells (hBMSCs) in the presence of either Fetal Bovine Serum... read more 

Procymidone residues threaten Allium tuberosum food safety. This study combines an electronic nose (E-nose) with a color sensor array (CSA) for qualitative and quantitative detection of its procymidone residues. By exploring architectural and perform... read more 

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en face segmentation of ultra-widefield (UWF) OCT images acquired for retinopathy of prematurity screening. DESIGN: Cross-sectional study. SUBJECTS: Twent... read more 

Osteosarcoma (Ost) is an extremely aggressive primary bone malignancy that mostly occurs among children and young adults. Precise histopathological classification is challenging due to strong intra- and inter-tumoral heterogeneity, combined with the ... read more 

BACKGROUND: Coronary artery brightness (CAB) on echocardiography has been observed during the acute phase of Kawasaki disease (KD), but its clinical relevance remains unclear. This study aimed to quantify CAB and evaluate its clinical significance us... read more