Artificial Intelligence Medical Compendium

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality. Integrative multi-omics and machine-learning analyses across independent cohorts identified CYYR1 as a frequently downregulated transmembrane protein in LUAD, with low ex... read more 

Capturing the dynamic interplay of proteins and organelles within cells requires microscopy methods with high spatial and temporal resolution. Reversible Saturable OpticaL Fluorescent Transition (RESOLFT) demonstrated great potential for live cell na... read more 

Metal binding to proteins is crucial for many biological functions, yet the prediction of metal-binding sites and metal types remains underexplored compared to other biomolecular interactions. Despite advances in deep learning, computational methods ... read more 

Afforestation is a low-cost and high-potential climate change mitigation strategy, but its feasibility remains highly uncertain because most existing assessments focus primarily on biophysical suitability and land resource constraints, while largely ... read more 

Nucleic-acid biomarkers play pivotal roles in disease diagnosis, therapeutic monitoring, and precision medicine, creating an urgent demand for analytical platforms combining high sensitivity, molecular specificity, and rapid detection. Surface-enhanc... read more 

BACKGROUND: Frailty adversely affects survival and quality of life in patients undergoing maintenance hemodialysis (MHD). This study aimed to develop a clinical multimodal model to identify prevalent frailty in MHD patients. METHODS: Clinical data fr... read more 

BACKGROUND AND AIM: Traumatic dental injury management requires both appropriate knowledge and the ability to seek reliable information when uncertainty arises. This study examined the relationships among objectively measured knowledge, self-rated kn... read more 

Falls impose a major public health burden on middle-aged and older adults. Coexisting cardiovascular disease (CVD) and arthritis further increases fall risk, yet targeted prediction models remain scarce, especially in Chinese populations. We analyzed... read more 

BACKGROUND: Insect pests threaten agricultural productivity, while conventional surveillance is labour-intensive and excessive pesticide use creates environmental and health risks. This review evaluated automated insect detection, counting, classific... read more 

Rapid global aging has intensified the cardiovascular disease burden, making clinical prediction models (CPMs) crucial for risk stratification and management of elderly patients with acute coronary syndrome (ACS), yet the knowledge structure of this ... read more