Artificial Intelligence Medical Compendium

Deep learning has enabled virtual spatial transcriptomics from histology, offering a scalable approach to molecular profiling of routinely archived tissue without molecular assays. However, reliable uncertainty estimates are essential for identifying... read more 

Background Characterizing intratumor heterogeneity and subclonal architecture from bulk DNA sequencing provides important insights into cancer evolution. However, existing subclonal reconstruction methods remain computationally demanding, hindering i... read more 

Single-cell glycan and RNA sequencing (scGR-seq) enables characterization of cellular glycan heterogeneity. Here, we present scGlycoAI, an interpretable machine learning framework that integrates scGR-seq data for glycan-centered biological discovery... read more 

AIMS: Whether a retinal artificial intelligence (AI) risk score reclassifies SCORE2 cardiovascular risk stratification in statin-naive adults across the ESC/EAS statin-indication boundary is uncertain. We evaluated the retinal AI risk score for 10-ye... read more 

STUDY OBJECTIVES: Actigraphy sleep-wake classification methods increasingly seek to leverage raw acceleration data and machine-learning-based classification, but performance evaluation in pediatrics is limited. We trained machine-learning models usin... read more 

Accurate quantitative analysis of homogeneous bulk samples is critical in materials science and mineral industry applications, yet conventional standards-based Energy Dispersive Spectroscopy (EDS) quantitative analysis remains reliable and widely use... read more 

AIMS/INTRODUCTION: Although glucagon-like peptide-1 receptor agonists are widely used for type 2 diabetes, gastrointestinal intolerance frequently leads to early discontinuation. Predictors of oral semaglutide discontinuation remain poorly defined, a... read more 

Precise intraoperative delineation of melanoma margins remains a clinical challenge; incomplete resection causes recurrence, whereas over-excision compromises aesthetic and functional outcomes. While surface-enhanced Raman spectroscopy (SERS) provide... read more 

Aflatoxin B1 (AFB1) is a highly hazardous Group Ⅰ carcinogen that widely contaminates grain products. To realize rapid on-site detection, we developed an electrochemical sensor based on electrochemically modified graphene-carbon nanotube composite pa... read more 

CONTEXT: Converting inexpensive HF-3c descriptors into density functional theory (DFT) quality values is attractive for high-throughput screening, but only if the correction is known. We learn such corrections for six descriptors (Gibbs, electronic a... read more