Gastroenterology

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a...

Analysis of characteristic aroma compounds in Gastrodia elata f. glauca S. Chow and identification of fine-grained sampling points based on molecular docking and machine learning.

Gastrodia elata f. glauca S. Chow (WTM) is a both a traditional food and a traditional Chinese medic...

A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure.

Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patien...

Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology.

The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to fo...

Adherence to guidelines, pitfalls, and emerging technologies in endoscopic practice for celiac disease: a nationwide SIGENP survey.

UNLABELLED: Upper gastrointestinal endoscopy (UGIE) with duodenal biopsies remains the gold standard...

Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.

Optimizing the prediction of anti-colorectal cancer agent activity is essential aspect in the identi...

Development and validation of an interpretable CT-based scoring model for gastric cancer aggressiveness.

OBJECTIVES: Accurate prediction of adverse histopathological status (AHS) in gastric cancer (GC) is ...

Application of Artificial Intelligence-Powered Research in Gastrointestinal Pathophysiology: Unveiling Intestinal Pathobionts and Microbiota Dysbiosis.

Quality assessment and geographical origin traceability of Gastrodia elata based on machine vision, flash GC e-nose, HPLC, and machine learning algorithms.

Gastrodia elata Bl. (GE), a widely utilized edible and functional material, exhibits notable quality...

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also b...

Dysbiosis of fecal virome in pediatric Crohn's disease and its dynamic changes during infliximab therapy.

UNLABELLED: The gut virome is an emerging but underexplored component of the human microbiota, espec...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in m...

Development and validation of an interpretable MRI-based multimodal fusion model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicenter study.

OBJECTIVE: To develop an interpretable multimodal model that integrates pre-treatment Magnetic reson...

A two-step scoring model incorporating visceral-to-subcutaneous fat ratio and systemic immunoinflammatory index for predicting cytokine release syndrome severity in patients with gastric cancer receiving Claudin18.2-targeted CAR-T cell therapy.

Cytokine release syndrome (CRS) greatly impacts survival in patients who undergo chimeric antigen re...

Prognostic Significance and Immune Landscape of Migrasome-Related Genes in Pancreatic Cancer.

Pancreatic cancer is characterized by early metastasis and high aggressiveness, highlighting the nee...

Spatio-temporal characterization of gastric distensibility in upper endoscopy identifies the presence of Helicobacter pylori.

Assessment of gastric distensibility is crucial for understanding various gastrointestinal disorders...

Position Paper: IOlBD Evidence-based Consensus on the Use of Artificial Intelligence for Assessment of Endoscopic and Histologic Endpoints in Clinical Trials of Inflammatory Bowel Disease.

BACKGROUND & AIMS: Central reading of endoscopy and histopathology is the current standard for disea...

Combined hepatocellular-cholangiocarcinoma: a contemporary pathologic and molecular perspective.

Combined hepatocellular cholangiocarcinoma (cHCC-CCA) is a rare primary liver carcinoma characterize...

Identification of core genes mediating the association between obesity and hepatocellular carcinoma: A bioinformatics study based on mitochondrial metabolism and immune pathways.

PURPOSE: Obesity is strongly associated with hepatocellular carcinoma (HCC), yet the molecular mecha...

Integrated multi-omics analysis identifies and validates endoplasmic reticulum stress and mitophagy-related biomarkers in MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most prevalent chroni...