Gastroenterology

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

PFOS exposure is linked to immune-metabolic disruption in MASLD: integrated population, computational, and experimental evidence.

Perfluorooctane sulfonate (PFOS), a persistent environmental pollutant, has been implicated in metabolic dysfunction-associated steatotic liver disease (MASLD), yet the underlying molecular mechanisms remain incompletely characterized. We constructed an integrated analytical framework combining population epidemiology, network toxicology, machine learning, transcriptomic analysis, single-cell mapp...

AI-Driven Rational Design of Nanotherapeutics for Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagnosis, high recurrence rates, and pronounced chemore...

A CECT-Based 2PI System as a Novel Noninvasive Prognostic Tool for Hepatocellular Carcinoma: A Dual-Validation Study.

This study aimed to develop and validate machine learning (ML) models integrating clinical parameters and the 2PI system (Pathology and Prognosis-Info...

Spatiotemporal co-occurrence patterns and related risk factors of esophageal and lip and oral cavity cancers among older adults across 203 countries and territories: a machine learning-driven systematic analysis.

BACKGROUND: The country-level co-burden of esophageal cancer and lip and oral cavity cancer (LOC) among older adults remains poorly characterised. We ...

Large Language Models for Heterogeneous Data Mining in Liver Disease: Framework Development and Retrospective Validation Study.

BACKGROUND: Differentiating among liver disease entities such as autoimmune liver disease (AILD), drug-induced liver injury (DILI), and chronic hepati...

The tire antioxidant derivative 6PPD-quinone exacerbates IBD by targeting NR1H4-mediated lipid metabolism and mitochondrial dysfunction in human colon epithelial cells.

N- (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant derivative, accumulates in air, soil, and water and ha...

Visual steatosis assessment: method-dependent variation and systematically higher estimates compared with AI measurement.

AIMS: Despite its clinical importance, histological steatosis assessment remains poorly standardized and highly variable among pathologists. We examin...

Digital pathology, image analysis, and artificial intelligence in liver disease.

Advances in digital pathology, image analysis, and artificial intelligence (AI) are rapidly transforming how pathologists and researchers interact wit...

Enhancing short-term predictions of mortality risk for liver transplant candidates through random survival forests.

MELD-based scores do not fully account for systemic and metabolic risk in liver transplant candidates, with notable gaps for those with metabolic dysf...

MST-Net: a multi-scale spatial transformation network for automated T2/T3 staging of rectal cancer on preoperative T2-weighted MRI.

OBJECTIVE: This study aimed to develop a deep learning model (MST-Net) for the segmentation-free automated and precise differentiation between T2 and ...

Artificial intelligence-driven decision-making after endoscopic resection for early gastric cancer.

Early gastric cancer (EGC) is increasingly managed by endoscopic resection (ER); however, lymph node metastasis (LNM), which occurs in approximately 5...

Alignment Between Large Language Models and Consensus in Endoscopic Spinal Disc Surgery: A Comparative Analysis Against the Neurocore-SENSED.

BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process involving 77 international spine surgeons, provides a s...

AI-enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug-induced liver injury.

Drug-induced liver injury (DILI) is a complex and intractable disease because existing anti-oxidate therapies in clinic fail to modulate multiple path...

Improved virtual non-contrast images in liver dual-energy CT with deep learning algorithm for image reconstruction.

BACKGROUND: We aimed to explore the use of deep learning image reconstruction (DLIR) to improve virtual non-contrast (VNC) images from enhanced dual-e...

From metabolites to membrane vesicles: Unifying gut microbial signals in obesity, t2dm, and MASLD.

Obesity, Type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated steatotic liver disease (MASLD) represent interconnected global health p...

Oral and gut microbiota profiles in patients with locally advanced rectal cancer with varying responses to neoadjuvant chemoradiotherapy.

Recent research has focused on gut bacteria in colorectal cancer, but the influence of other microbiota, including oral and nonbacterial gut microbiot...

CLDN18 as a novel junctional biomarker enhancing multi-gene classification of pancreatic cancer.

Pancreatic adenocarcinoma (PAAD) remains one of the most lethal cancers, largely due to the lack of reliable diagnostic biomarkers. Through integrativ...

Quantifying nonlinear dynamics and key drivers of herd-level milk yield and losses under meteorological and physiological stressors in Holstein cattle.

Meteorological and physiological stressors significantly impair dairy farm productivity and profitability. Although their impacts on individual cows h...

Natural language processing for detecting endoscopy-related adverse events in free-text procedure reports at a tertiary referral centre in Türkiye: a 10-year retrospective diagnostic accuracy study.

OBJECTIVES: Automated surveillance of endoscopy-related adverse events (AEs) from non-English free-text reports remains insufficiently evaluated. We c...