Gastroenterology

rs57494551 increases CXCR5 expression and IgM+ CXCR5+ B-cell infiltration in the portal area of primary biliary cholangitis.

BACKGROUND: Primary biliary cholangitis (PBC) is a chronic, progressive, cholestatic liver disease caused by autoimmune reactions. A previous international meta-analysis of a genome-wide association study (GWAS) reported a robust association of the human chr.11q23.3 locus including C-X-C motif chemokine receptor 5 (CXCR5) with susceptibility to PBC. However, the molecular mechanism by which CXCR5 ...

Liver metastases beyond classical imaging findings.

Liver metastases represent the most common form of secondary hepatic malignancy and a major determinant of outcomes in oncologic patients. Imaging plays a fundamental role in detection, characterization, therapy planning, and treatment response assessment of liver metastases. Classical imaging techniques can determine the presence, number, location, and resectability of liver metastases. Newer app...

Artificial Intelligence for Diagnosis of Esophageal Manometry: A Narrative Review.

PURPOSE OF REVIEW: High-resolution manometry (HRM), the gold standard for diagnosing esophageal motility disorders, remains constrained by inter-rater...

Multimodal graph-based classification of esophageal motility disorders.

PURPOSE: Diagnosing esophageal motility disorders, including dysphagia, pose significant challenges due to the complexity of high-resolution impedance...

DUSP9 Regulates Hepatoblastoma Progression With Implications for Diagnosis and Targeted Therapy.

This study investigated the mechanistic role of DUSP9 in hepatoblastoma (HB) development and progression to provide new insights into the diagnosis an...

A blood-based test for detection of advanced adenomas and colorectal cancer (DENEB): a multicentre diagnostic accuracy study.

BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...

Habitat-Based Radiomics Model of Pretreatment CT to Predict Pathological Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoimmunotherapy: A Multicenter Prospective Study.

RATIONALE AND OBJECTIVES: Neoadjuvant chemoimmunotherapy (NCIT) has shown promising efficacy in locally advanced esophageal squamous cell carcinoma (L...

Explainable Survival Modeling in Pediatric Hematopoietic Stem Cell Transplantation Using Landmark-Based Machine Learning.

BACKGROUND: Machine learning survival models can outperform conventional Cox regression in heterogeneous pediatric HSCT cohorts, but clinical adoption...

Apolipoprotein M: A liver-derived lipid-binding protein protects against heart failure with preserved ejection fraction by inhibiting TGF-β signaling.

BACKGROUND: Visceral and hepatic adiposity and associated inflammation are recognized as prominent features of heart failure (HF) with preserved eject...

Prediction models for adverse events from prostate cancer curative radiotherapy: a systematic review of methodological quality.

BACKGROUND: Predicting risks of urinary, bowel, sexual, and other adverse effects following prostate cancer curative radiotherapy (PCa-RT) is essentia...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...

Senkyunolide I Inhibits mtDNA-cGAS-STING Signaling in Macrophages via Targeting VDAC1 Oligomerization to Attenuate Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited therapeutic options. The cyclic GMP-AMP synthase (cGAS)-stimulator of int...

Interfractional Monitoring of Spacer Hydrogel Morphology in Patients With Prostate Cancer Receiving SBRT Treatment.

PURPOSE: The purpose of this study is to explore whether spacer hydrogel morphology changes during the course of stereotactic body radiation therapy (...

Artificial intelligence-driven cross-endpoint stacked ensemble learning for separate but meta-feature coupled prediction of six human pharmacokinetic endpoints with RDKit molecular representation and applicability domain control on real TDC benchmark data.

Machine learning prediction of human pharmacokinetic (PK) properties usually trains one endpoint at a time, discarding the correlations linking absorp...

Interpretable machine learning for gallstone risk prediction: an ensemble stacking approach with SHAP analysis.

Gallstone disease is a gastrointestinal condition requiring accessible, low-cost screening tools. We developed an interpretable ensemble stacking mode...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...

Current status and challenges of immune checkpoint inhibitors in liver cancer: from monotherapy to combination strategies.

Hepatocellular carcinoma (HCC) has an extremely poor prognosis. The emergence of immune checkpoint inhibitors (ICIs) has fundamentally transformed the...

Clinical appraisal of handheld intestinal ultrasound in inflammatory bowel disease: Where are we now?

Gastroenterologist-performed intestinal ultrasound (IUS) is increasingly used to monitor inflammatory bowel disease (IBD) due to its noninvasive, real...

Metabolomics predict treatment response to vedolizumab in pediatric IBD: results from the prospective VedoKids cohort study.

BACKGROUND AND AIM: Metabolites produced through host-microbe interactions may help associate metabolomic signatures with therapy response. We aimed t...

Multi-modal AI-enabled steatotic liver disease diagnostics using facial images and metabolomics.

Steatotic liver disease (SLD) affects one-third of the global population, yet current non-invasive diagnostic methods are too costly or operator-depen...