Peptic Ulcer Disease

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in locally advanced rectal cancer, particularly across different neoadjuvant therapy regimens, is scarce. OBJECTIVE: This study aims to evaluate the diagnostic accuracy of endoscopy for predicting luminal complete response after neoadjuvant therapy and comp...

Integrative Multi-Omics Analysis Identifies Key Molecular Targets Linking Bisphenol A Exposure to Gestational Diabetes Mellitus.

Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the underlying molecular mechanisms remain elusive. This study aimed to identify key genes mediating BPA exposure-related GDM through integrative bioinformatics analysis. We integrated BPA-related targets from multiple databases with GDM-associated genes derived from GeneCards and the GSE103552 dataset. Fun...

Prediction of Blood Transfusion Need and Dose in Patients With Upper Gastrointestinal Bleeding: Retrospective Multicenter Prediction Model Study.

BACKGROUND: Transfusion thresholds in upper gastrointestinal bleeding are debated; hemoglobin cutoffs of 70-80 g/L are widely cited yet inconsistently...

Machine learning-based prediction of Clavien-Dindo ≥ II complications after ureteroscopy.

PURPOSE: Clavien-Dindo (CD) grade II complications after ureteroscopy occur in approximately 13-17% of cases, typically involving infections or bleedi...

Contrastive Learning-Powered Ultrafast Genome-Wide Virtual Screening: The Rise of DrugCLIP.

Virtual screening (VS) stands as a cornerstone of early-stage drug discovery, yet long-standing hurdles-including prohibitive computational cost and l...

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mu...

Building Trustworthy Artificial Intelligence for Gastrointestinal Endoscopy.

Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.

Driven by changes in lifestyle and environmental factors, the global incidence of cancer is steadily increasing, which has established it as a leading...

E3 Ubiquitin Ligase MDM2 Promotes Growth and CD8+ T Cell Dysfunction in Gastric Cancer Through Degradation of SST.

AIM: To figure out the role and molecular mechanism of SST in the progression of GC. METHODS: GC microarray data GSE118916 were downloaded from the GE...

Reconsidering Fibrinolysis in Selected Patients with Non-ST-Elevation Acute Coronary Syndrome: A Hypothesis-Generating, Research-Based Framework.

For decades, the use of fibrinolytic agents in patients with non-ST-elevation acute coronary syndrome (NSTE-ACS) has been contraindicated by major cli...

Toxic effects and mechanisms of methyl 4-hydroxybenzoate in allergic rhinitis: a multi-omics and toxicology study.

PURPOSE: Exogenous chemical exposure is closely associated with allergic rhinitis (AR). Methyl 4-hydroxybenzoate (MeP), a widely used preservative, po...

Multi-domain identification of myocardial infarction incidence using explainable AI: the overlooked role of periodontal health.

Myocardial infarction (MI) is a major global health concern influenced by diverse risk factors. Despite growing evidence of oral-systemic connections,...

The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies.

Artificial intelligence (AI) is increasingly applied in clinical practice to enhance prediction of postoperative outcomes. This systematic review eval...

Benefit of Linked-Color Imaging in Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: A Pilot Study With Propensity Score Adjustment.

BACKGROUND AND AIMS: Artificial intelligence (AI)-assisted endoscopy represents a promising approach for lesion detection, yet frequent false-positive...

DINCH induces intestinal toxicity through "ROS-ENO1-PA-lipid peroxidation" axis: An integrated approach combining network toxicology and experimental validation.

Cyclohexane-1,2-dicarboxylic acid diisononyl ester (DINCH), as a "green" alternative to phthalates, has been widely used in consumer products and indu...

Screening of potential targets of (2S)-2'-methoxykurarinone against sepsis and in vivo verification in zebrafish model.

OBJECTIVE: To screen the potential core targets of (2S)-2'-Methoxykurarinone, a dimethyldihydroflavonoid derived from Sophora flavescens, against seps...

Measurement-Informed Deep Learning for Real-Time Monitoring of Hydrodynamic Drying Dynamics in Inkjet-Printed Display Pixels via Low-Resolution Imaging.

Real-time monitoring of drying dynamics is critical for ensuring high-quality thin-film fabrication in inkjet printing. Here, we present a classificat...

Recent progress in clinical and molecular biological research in rectal serrated lesions.

Colorectal cancer ranks among the most common malignancies worldwide. Rectal serrated lesions represent a significant precancerous condition, accounti...

Structure analysis of liquid bismuth using molecular dynamics simulation.

Liquid bismuth (Bi) exhibits an anomalous local structure that cannot be described by the hard-sphere model. It features a subpeak near 3in the struct...

Intelligent recognition and segmentation of anatomical structures in spinal endoscopy: a deep learning approach with 1000 annotated images.

BACKGROUND: Accurate intraoperative identification of anatomical structures is critical for ensuring the safety and efficacy of spinal endoscopic surg...