The high cost and attrition rate of drug development underscore the need for more effective strategies for therapeutic target discovery. Here, we present a network medicine-based machine learning framework that integrates single-cell transcriptomics,... read more
BACKGROUND: Proper needle visualization is a major technical challenge for novices learning ultrasound-guided regional anesthesia (UGRA). We developed a 'You Only Look Once version 5' (YOLOv5)-based system that records quantitative needle trajectory ... read more
OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC) following transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (R... read more
BACKGROUND: Liver cirrhosis (LC) is a chronic liver disease with global prevalence. Current diagnostic methods for LC still face limitations in safety and accessibility. We aimed to develop an interpretable machine learning (ML) prediction model for ... read more
BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains a major global health burden and is currently the third leading cause of death worldwide. Acute exacerbations accelerate disease progression and contribute substantially to mortality, u... read more
Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such as goniometers, are limited by subjectivity, inter-observer variability, and poor compatibility with ... read more
Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, fibroblasts influence TME remodeling and tumor progression. Recent advances in targeting tumor-derive... read more
AIM: To evaluate the accuracy and consistency of responses generated by artificial intelligence (AI) chatbots in pediatric dentistry, specifically concerning fluoride usage. STUDY DESIGN: Descriptive cross-sectional study. METHODS: Four AI chatbots (... read more
The growing integration of artificial intelligence (AI) into healthcare raises substantial normative questions about the nature of caregiving. While medical AI can improve clinical efficiency and assist with administrative tasks, I argue that patient... read more
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