Peptic Ulcer Disease

Artificial Intelligence-Driven Multi-Omics Analysis Reveals Hydroxytyrosol Targeting of the TXNIP-NLRP3 Inflammasome Axis in Traumatic Brain Injury.

Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflammasome activation, and immune remodeling, yet specific mechanism-guided pharmacological interventions remain limited. This study established an artificial intelligence (AI)-integrated network pharmacology and multi-omics framework to evaluate whether hydroxytyrosol (HT), an olive-derived natural poly...

Artificial Intelligence-Enhanced Risk Stratification in Non-ST-Segment Elevation Myocardial Infarction: The Incremental Prognostic Value of the Modified Glasgow Prognostic Score in Predicting 36-Month Mortality.

OBJECTIVE: Current clinical guidelines for non-ST-segment elevation myocardial infarction (NSTEMI) emphasize the duration of dual antiplatelet therapy (DAPT) based on scores such as the Predicting Bleeding Complications in Patients Undergoing Stent Implantation and Subsequent Dual Antiplatelet Therapy (PRECISE-DAPT) score and the Dual Antiplatelet Therapy (DAPT) score. However, these anatomical an...

Prognostic Value of Admission D-dimer Levels and Total Bleeding Volume in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study with Machine Learning-Based Modeling.

BACKGROUND: Plasma D-dimer levels are independently associated with poor prognosis following aneurysmal subarachnoid hemorrhage (aSAH). However, the u...

Ultra-High-Resolution Quantum Dot Microdisplays Fabricated via Microvia Electrostatic Adsorption Self-Assembly.

The rapid advancement of artificial intelligence drives advances in microdisplays for smart wearables and near-eye applications. This imposes extremel...

Natural language processing for detecting endoscopy-related adverse events in free-text procedure reports at a tertiary referral centre in Türkiye: a 10-year retrospective diagnostic accuracy study.

OBJECTIVES: Automated surveillance of endoscopy-related adverse events (AEs) from non-English free-text reports remains insufficiently evaluated. We c...

Protein-protein interactions as therapeutic targets in breast cancer: integrated computational and experimental advances, mechanisms and clinical translation.

Breast cancer is a highly heterogeneous malignant tumour, whose initiation and progression are closely associated with aberrant rewiring of protein-pr...

The role and mechanism of diosgenin glucoside in modulating megakaryopoiesis through promotion of autophagy via the AMPK/mTOR/ULK1 signaling pathway.

BACKGROUND: Radiation-induced thrombocytopenia (RIT) is a severe, dose-limiting complication of cancer radiotherapy with limited clinical management o...

Dedicated Endoscopy for Barrett's Oesophagus With Higher Dysplasia Yield May Reduce Seattle Protocol Biopsies: Results From UK Multicentre Study.

BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...

A decade of artificial intelligence in endoscopy: from proof of concept to clinical reality.

A Review of the Role of Artificial Intelligence in Patients on Extracorporeal Membrane Oxygenation: A Scoping Review Study.

BACKGROUND AND AIMS: ECMO is used to deliver cardiopulmonary support in extreme failure where standard therapies are unfruitful. Although ECMO is asso...

Antibiotic Resistance in Helicobacter pylori: Pathogenic Mechanisms and Eradication Barriers.

Antibiotic resistance in Helicobacter pylori is an important factor in the ineffectiveness of eradication regimens. The rate of resistance is not cons...

Computational discovery of HIF-1α/VHL protein-protein interaction inhibitors for hypoxic cell protection.

The HIF-1α/VHL protein-protein interaction regulates cellular hypoxic adaptation. Targeting this PPI offers therapeutic potential for ischemia, yet th...

Exploration of acetylation-related biomarkers in osteoarthritis through bioinformatics analysis.

Osteoarthritis (OA) is characterized as a chronic degenerative disorder affecting the joints. A growing body of evidence indicates that acetylation ma...

Comparison of Machine Learning-Based Reporting with Surgeon Reporting of Postoperative Complication in Cardiothoracic Morbidity and Mortality Conferences.

BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...

iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.

Precise resolution of cellular heterogeneity within complex tissues is fundamental to deciphering disease etiologies from bulk transcriptomic profiles...

Accurate differentiation of metastatic and ultrasound-atypical reactive hyperplastic lymph nodes using a fusion model integrating ultrasound radiomics and habitatomics: A multicenter study.

BACKGROUND: The significant sonographic overlap between metastatic and ultrasound-atypical reactive hyperplastic lymph nodes remains a challenge in su...

Recent advances and knowledge gaps in anticoagulation strategy with durable left ventricular assist devices.

Driven by technological advancements, donor shortages, and an aging population, utilization of left ventricular assist devices (LVAD), both as a bridg...

EndoVLM: A Vision-Language Assistant for Gastrointestinal Endoscopy.

Gastrointestinal endoscopy generates extensive high-resolution video data, posing significant challenges for efficient and accurate computer-aided dia...

An integrated systems biology and machine learning framework for identifying potential biomarkers and pathways in autism spectrum disorder.

BACKGROUND: Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders whose underlying molecular mechanisms and biological processes...

Left ventricular hypertrophy as a predictor of adverse maternal and neonatal outcomes in chronic hypertension in pregnancy: a multicenter study.

OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH) on adverse maternal and fetal pregnancy outcomes...