Gastroenterology

Identification of potential biomarkers for ulcerative colitis based on multidimensional data analysis and investigation of the mechanisms of therapeutic effects.

OBJECTIVE: Based on multidimensional data analysis, potential biomarkers for ulcerative colitis were screened, and the effects of curcumin chitosan microspheres on the expression of key targets in ulcerative colitis and their role in alleviating inflammation were observed. METHODS: Potential biomarkers related to UC progression were identified through differential expression analysis (using the li...

Applying machine learning to pharmacovigilance data: A proof-of-concept study.

AIM: Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof-of-concept study aimed to assess the feasibility of using a ML algorithm-eXtreme Gradient Boosting (XGBoost)-combined with SHapley Additive exPlanations (SHAP) analysis, to classify a well-defined drug-adverse reaction pair...

Clinical and laboratory characteristics associated with liver failure in hospitalized dengue patients: insights from a non-endemic region.

BACKGROUND: Dengue fever is an emerging public health issue expanding into non-endemic regions like Changsha, China. Liver involvement is a critical c...

Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy: a multi-center study.

PURPOSE: PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during laparoscopic radical resection of rectal cancer, ...

Innovation and commercialization pathway in gastrointestinal endoscopy: a practical primer from American Society for Gastrointestinal Endoscopy.

Gastrointestinal endoscopy has undergone rapid technological evolution, yet many clinician innovators remain unfamiliar with the pathways required to ...

Plasma proteomics improves thrombosis prediction in patients with cancer and identifies targetable IL-17-driven endothelial activation.

Thrombosis remains a major cause of morbidity and mortality in patients with cancer. Existing risk models fail to reliably predict venous thromboembol...

Visceral adipose tissue inflammation in endometrial cancer.

BACKGROUND: Obesity is the largest risk factor for endometrial cancer. Body Mass Index (BMI) does not fully capture obesity's metabolic and inflammato...

Real-world impact of artificial intelligence on adenoma detection: A cross-sectional study at a single center in Lima, Peru.

INTRODUCTION: The use of artificial intelligence (AI) in endoscopic studies has grown in recent years. The present study evaluates the performance of ...

Multi-label dynamic diagnosis of pancreatic diseases using AI-enhanced endoscopic ultrasound: a multi-cohort real-world study.

BACKGROUND: Artificial intelligence (AI) is a promising tool for pancreatic disease diagnosis using Endoscopic Ultrasound (EUS) images. But, current m...

Synthetic data generation: challenges and perspectives for gastrointestinal medicine.

In the era of artificial intelligence, machines are demonstrating an unprecedented capacity to learn from massive amounts of real-world data to perfor...

Toxicity assessment in preclinical histopathology via class-aware Mahalanobis distance for known and novel anomalies.

Drug-induced toxicity is a leading cause of preclinical and early-clinical failure, making early detection critical. Histopathology is the gold standa...

Integrative spatiotemporal transcriptomics identifies a liver metastasis-related initial cell population associated with the SEMA3A-NRP1 axis in pancreatic ductal adenocarcinoma.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy in which liver metastasis represents the principal determinant of po...

nnU-Net-based CT segmentation of perigastric varices in sinistral portal hypertension: a multicenter study.

PURPOSE: To develop a deep learning model based on nnU-Net for automated segmentation of all perigastric veins on contrast-enhanced CT images in patie...

High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images.

Autoimmune Hepatitis (AIH) is a liver disease with a wide clinical spectrum, driven by an abnormal immune response against the liver parenchyma. Chall...

Abdominal Dual-Energy CT with Deep Learning Reconstruction: Preserving Image Quality and Hepatic Lesion Conspicuity with Reduced Radiation and Contrast.

The objective was to evaluate the image quality and hepatic lesion conspicuity in a dual-low-dose (radiation and contrast volume) upper abdominal dual...

Helicobacter pylori phages: resource landscape, translational challenges, and engineered antibacterial strategies.

Helicobacter pylori (H. pylori) is a globally prevalent gastric pathogen whose increasing antimicrobial resistance has reduced the efficacy of convent...

Enhancing the Efficacy of Ulcerative Colitis Treatment by Inhibiting LCN2-Mediated Pyroptosis Through Traditional Processing Techniques: With the rhizome of Atractylodes macrocephala Koidz. as an Example.

ETHNOPHARMACOLOGICAL RELEVANCE: Atractylodes Macrocephala Rhizome (AMR), the dried rhizome of Atractylodes macrocephala Koidz (family Asteraceae), is ...

Fecal and colonic microbiota differ in composition, function, diagnostic utility and correlation with inflammatory cytokines in ulcerative colitis.

Fecal samples have been frequently used to investigate ulcerative colitis (UC)-related gut microbiota study due to their easy availability. However, w...

Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking.

PURPOSE: Indocyanine green (ICG) fluorescence imaging is increasingly used for intraoperative bowel perfusion assessment in neonatal surgery. However,...

A donor-recipient ranking model to optimize long-term survival post liver transplant.

Liver transplant (LT) is a life-saving treatment for patients with cirrhosis and/or hepatocellular carcinoma (HCC), but organ shortages and suboptimal...