Gastroenterology

A review on molecular crosstalk: Bioactive polysaccharides and gut microbiota in type 2 diabetes-Pathways, signaling, and therapeutic translation.

Type 2 diabetes mellitus (T2D) is a chronic metabolic disorder characterized by insulin resistance, ...

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

BACKGROUND: With the increased utilization of artificial intelligence (AI) tools in the operating ro...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primar...

Machine learning models based on MRI predict the expression levels of Galectin - 9 expression in rectal cancer.

OBJECTIVE: To investigate the utility of a machine learning model based on MRI radiomics in predicti...

Predicting intrahepatic recurrence of colorectal cancer liver metastases after curative hepatectomy using a machine learning model with data integration of ultrasound radiomics and clinicopathological parameters.

OBJECTIVES: To develop and validate a machine learning model integrating ultrasound radiomics and cl...

A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy.

INTRODUCTION: Digestive endoscopy is a critical modality for diagnosing and managing gastrointestina...

Transformer-based prediction of radiotherapy couch shift risk in prostate cancer based on rectal volume.

Identification of Novel Biomarkers for Crohn's Disease Through the Integration of Machine Learning, Colocalization, and SMR Analysis.

Crohn's disease (CD) is a chronic inflammatory bowel disease with a prevalence rate increasing with ...

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning.

BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable mole...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challe...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gast...

Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.

Synthesizing T2-weighted MRI from CT scans presents a challenging ill-posed problem that remains und...

Artificial intelligence and the future of inflammatory bowel disease trial recruitment: from bottleneck to breakthrough.

Machine learning diagnostic framework for liver fibrosis in chronic hepatitis B based on routine laboratory tests.

Early detection of liver fibrosis in chronic hepatitis B (CHB) patients is crucial for improving the...

Colonoscopy surveillance in Lynch syndrome: what it prevents and what it does not.

Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused b...

Genetic and clinical determinants of tacrolimus accumulation in early liver transplantation: evidence for a combined genotype-antibiotic effect.

BACKGROUND: Tacrolimus is a first-line immunosuppressant essential for preventing graft rejection af...

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in v...

Trends, Antimicrobial Resistance, and Source Attribution of Campylobacter jejuni and C. coli in Beijing: An 8-Year Molecular Surveillance Study.

OBJECTIVES: Beijing, a large urban center with complex food supply chains, faces increasing challeng...

AI in the Prediction of Hepatic Fibrosis Progression Using Non-Coding RNAs.

Hepatic fibrosis is a dynamic and progressive condition that can lead to cirrhosis and hepatocellula...

Tissue-resolved molecular landscape reveals hepatic regulatory networks and metabolic mediators underlying feed efficiency in chickens.

INTRODUCTION: Residual feed intake (RFI) is a key indicator of feed efficiency in poultry and is reg...

Cross-cancer survival prediction using machine learning models.

Among the many challenges faced by healthcare systems, cancer remains one of the most urgent. This m...