Gastroenterology

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 form distinct functional niches (FNs). Profiling these TME spatial features has proven to be a critical approach for correlating tumor progression and therapeutic response. However, RNA stability limitations constrain the broad clinical implementation of spatial transcriptomics, while high background ...

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 for diagnosing celiac disease (CD) in children and adolescents. Despite clear guidelines, clinical practices may vary across centers. This self-reported survey study assessed adherence to European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) guidelines for pediatric CD...

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 survival following oesophagectomy in oesophageal squamous...

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 identification and creation of medications. Machine lear...

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 clinically crucial due to its strong association w...

Future Perspectives for Artificial Intelligence in Allergy: Advances in Diagnosis, Monitoring, and Personalized Care.

Artificial intelligence (AI) is significantly transforming the specialty of allergy by offering novel tools for diagnosis, risk prediction, disease mo...

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 variations due to distinct growing conditions acr...

Comparison of CT-based radiomics models for the prediction of human epidermal growth factor receptor 2 status in gastric cancer.

CT radiomics of adenocarcinoma of the esophagogastric junction: machine learning-based prediction of perineural invasion status.

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 been seen to affect all ages. This includes young a...

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, especially in pediatric Crohn's disease (CD). This stud...

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 multicenter, randomized controlled trials is lackin...

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 resonance imaging (MRI)-based deep learning radiomics (...

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 receptor (CAR)-T cell therapy, and the identificatio...

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

Pancreatic cancer is characterized by early metastasis and high aggressiveness, highlighting the need for novel molecular biomarkers to improve progno...

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, particularly those affecting gastric motility an...

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 disease activity assessment in inflammatory bowel disea...

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

Combined hepatocellular cholangiocarcinoma (cHCC-CCA) is a rare primary liver carcinoma characterized by the unequivocal coexistence of hepatocytic an...

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 mechanisms linking them remain unclear. This study aime...