Gastroenterology

Integrating Machine Learning and Single-Cell Analysis to Reveal the Diagnostic and Therapeutic Value of Regulated Cell Death Mechanisms in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth, metastasis, and drug resistance. While several predictive models exist, effective models that accurately predict patient prognosis and guide targeted therapy decisions remain insufficient. Regulated cell death (RCD) pathways play a pivotal role in the development and progression of various cancers,...

European Cancer Prevention Organization on cancer screening: an expert panel position paper.

BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assurance among national or regional programs. Building on the EU Council's 2022 recommendations and the European Union's Beating Cancer Plan, the European Consensus Project (ECP) was established to provide harmonized, evidence-based recommendations for ma...

Artificial intelligence (AI)-assisted full-course case management for primary liver cancer: System design, preliminary implementation, and practical considerations.

Primary liver cancer presents substantial management challenges across the surgical trajectory, including high recurrence rates, prolonged rehabilitat...

Clinical artificial intelligence (AI) in Japan: Regulatory pathways, domain-specific evidence, and its data infrastructure from an international perspective.

Artificial intelligence (AI) has advanced rapidly across clinical domains, generating both a growing evidence base and dedicated regulatory frameworks...

Bisphenol A promotes esophageal carcinogenesis by activating the MMP1-PCOLCE regulatory axis and remodeling the tumor immune microenvironment.

Bisphenol A (BPA), a ubiquitous environmental endocrine-disrupting chemical extensively used in plastic products, has been increasingly recognized for...

The effectiveness of a plant-based milk with fermented brown rice on constipation symptoms via gut microbiota modulation: a double-blind randomized controlled trial.

PURPOSE: To evaluate the effects of a plant-based milk with fermented brown rice on constipation symptoms in patients with functional constipation and...

Artificial intelligence and multi-omics revealed the authentic regulation of ADP-ribosylation in modulation Treg/Th17 ecosystem and multi-target therapeutic strategy enrichment for HBV+ Hepatocellular Carcinoma patients.

OBJECTIVE: Dysregulation of Protein post-translation(PTM) and Treg/Th17 balance contribute to the progression of Hepatocellular Carcinoma(HCC) patient...

Aspartame drives the continuous progression from MASLD to HCC.

BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular impact on metabolic dysfunction-associated steatot...

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

OBJECTIVE: Short-TE Proton Magnetic Resonance Spectroscopy (SPMRS) allows non-invasive, radiation-free detection of biomolecules including key brain m...

Explainable machine learning identifies small high-performance gene signatures from full transcriptomes in human liver preservation cohorts.

Transcriptomic studies of liver preservation and ischemia-reperfusion injury (IRI) often report large gene lists that are difficult to translate into ...

Benchmarking docking and ML re-scoring screening performance for KRAS G12D in pancreatic cancer.

The KRAS G12D mutation is commonly found in pancreatic cancer and is integral to the cell signaling pathway, making it a critical target for drug deve...

Comparative diagnostic accuracy of image-enhanced endoscopy modalities and artificial intelligence-assisted endoscopy for gastric intestinal metaplasia and gastric dysplasia: protocol for a systematic review and diagnostic test network meta-analysis.

INTRODUCTION: Gastric intestinal metaplasia (GIM) and gastric dysplasia are critical precursors in the Correa cascade of gastric carcinogenesis. Altho...

Unsupervised Machine Learning of Inflammatory Bowel Disease Case Reports Reveals Decades of Evolving Research Themes.

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) case reports provide rich longitudinal insights but have rarely been analyzed using quantitative...

Pharmacogenomic characterization of a uric acid metabolism-related signature associated with prognosis and drug sensitivity in gastric cancer.

Gastric cancer (GC) remains a major cause of cancer-related mortality worldwide. Increasing evidence suggests that metabolic reprogramming contributes...

Elucidating the pathway activity and prognostic significance of diverse regulatory cell death patterns in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival rate below 10%. Regulatory cell death (RCD) plays ...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

White cell - platelet ratio: A strong indicator for early mortality in liver cirrhosis patients with esophagogastric varices.

Esophagogastric varices (EGV) in liver cirrhosis patients within the intensive care unit (ICU) is a significant medical concern. This study aims to de...

Multi-cohort integration and machine learning identify CPVL as a novel oncogenic driver in gastric cancer.

BACKGROUND: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, and the prognosis of advanced GC remains poor. Systemat...

A dual-contrast deep learning model for automated assessment of sarcopenia using MRI.

PURPOSE: To develop a dual-contrast deep-learning model for automated muscle segmentation on spin-echo and Dixon magnetic resonance imaging (MRI) for ...

Robotic versus Laparoscopic Colectomy for Cancer.

Minimally invasive colon and rectal surgery provides oncologic outcomes at least equivalent to open surgery with a multitude of benefits. While laparo...