Peptic Ulcer Disease

Evaluating deep coal rock gas fracturing sweet spot intervals using PSO-ELM algorithm and petrophysical logging data.

The Daning Jixian block is situated on the eastern periphery of the Ordos Basin. it faces multiple challenges including strong reservoir heterogeneity and unclear identification of fracturing sweet spot interval interval intervals, which restrict the enhance productivity and operational efficiency of deep coal rock gas. This study adopts an integrated geology-engineering approach and employs ensem...

Identification and validation of dyslipidemia and glutamate metabolism-associated gene diagnostic and therapeutic repurposing signature for Acute myocardial infarction patients: insights from integrative bioinformatic and multi-omic studies.

Objective Dyslipidemia and glutamate metabolism (DG) plays a crucial role in the pathogenesis of Acute myocardial infarction (AMI). Hence, deeper understanding of DG in AMI paves the way for the clinical applications of AMI. Methods In combination of PPI network and Limma framework, we first identified DG-associated shared differentially expressed genes (DEGs) from AMI patient bulk profile (GSE611...

A machine learning-based risk prediction framework for atypical hyperplasia and endometrial cancer in postmenopausal women.

BACKGROUND: This study aimed to develop and internally validate a machine learning-based model for predicting endometrial malignancy, defined as atypi...

Endoscopy-based Deep Learning Algorithms versus Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis.

INTRODUCTION: To compare the diagnostic performance of endoscopy-based deep learning (DL) algorithms with endoscopists of different experience levels ...

Elucidating the pathogenic mechanism underlying plasticizer-induced chronic kidney disease via integrated network toxicology and machine learning.

Plasticizers are ubiquitous plastic additives that have been linked to multiple adverse health outcomes and elevated risks of chronic kidney disease (...

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes ...

Advances in Nano-Enabled Biosensing Technology for Gastric Cancer Diagnosis: Mechanistic Insights and Translational Perspectives.

Gastric cancer (GC) remains a critical burden on healthcare, affecting millions of people annually. Helicobacter pylori infection is a critical contri...

Healthcare Providers' Perspectives on the Role of Artificial Intelligence in the Care of Patients with Inflammatory Bowel Disease: An International Survey.

BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but concerns over data quality, privacy, and provider ...

Identification and Validation of Glycosylation-Related Biomarkers in the Hippocampus for Alzheimer's Disease Diagnosis and Drug Repurposing.

As a crucial type of post-translational modification, glycosylation plays a fundamental role in maintaining cellular homeostasis and is closely associ...

AI-based automated bleeding monitoring in conventional and robot-assisted laparoscopic surgery: a systematic review.

Artificial intelligence has emerged as a promising approach for improving the detection and management of intraoperative bleeding during conventional ...

Advancing stroke prevention in atrial fibrillation: a systematic review of machine learning-based risk prediction models.

BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and confers a four to fivefold increase in ischemic stroke risk, ...

Virtual crystal violet chromoendoscopy: a digital alternative to dye-based staining.

BACKGROUND AND AIMS: Routine use of crystal violet (CV) chromoendoscopy for pit pattern-based colorectal lesion characterization is limited by safety ...

Transcriptome and experimental verification identified candidate biomarkers related to mitochondrial metabolism in sepsis-associated encephalopathy.

BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, but its contribution to sepsis-associated encephalo...

Identification and analysis of oxidative stress-related genes associated with the occurrence and development of diabetic retinopathy.

Diabetic retinopathy (DR) develops via complex interactions of multiple risk factors and molecular pathways. However, the association between oxidativ...

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy.

Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasing the risk of hepatic decompensation (HD) and vari...

Integrative transcriptomic analysis identifies immune-associated candidate genes and altered immune cell infiltration in pulmonary arterial hypertension.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by immune dysregulation and pulmonary vascular remod...

Development and validation of a novel YOLOv5-based artificial intelligence model for gastric mucosal lesion detection.

BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; however, an AI model capable of comprehensively diagno...

Xiao Zhen Fang mitigates cutaneous toxicity by inhibiting PANoptosis: Insights from untargeted metabolomics and transcriptomics.

BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequently cause cutaneous toxicities, impairing patient q...

Predictive performance of CT-based artificial intelligence for predicting variceal bleeding in portal hypertension: a systematic review and meta-analysis.

OBJECTIVES: To systematically evaluate the predictive accuracy of computed tomography (CT)-based artificial intelligence (AI) for predicting variceal ...

Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute myocardial infarction (CS-AMI). Acute kidney injur...