Gastroenterology

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning.

BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable mole...

Use of continuous glucose monitoring to stratify individuals without diabetes.

BACKGROUND: Early detection of metabolic dysfunction before diabetes onset remains a critical challe...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gast...

Exploration of Deep Learning Methods for Synthetic T2-Weighted Pelvic MRI Generation from CT Scans: A Technical Feasibility Study.

Synthesizing T2-weighted MRI from CT scans presents a challenging ill-posed problem that remains und...

Artificial intelligence and the future of inflammatory bowel disease trial recruitment: from bottleneck to breakthrough.

Machine learning diagnostic framework for liver fibrosis in chronic hepatitis B based on routine laboratory tests.

Early detection of liver fibrosis in chronic hepatitis B (CHB) patients is crucial for improving the...

Colonoscopy surveillance in Lynch syndrome: what it prevents and what it does not.

Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused b...

Genetic and clinical determinants of tacrolimus accumulation in early liver transplantation: evidence for a combined genotype-antibiotic effect.

BACKGROUND: Tacrolimus is a first-line immunosuppressant essential for preventing graft rejection af...

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in v...

Trends, Antimicrobial Resistance, and Source Attribution of Campylobacter jejuni and C. coli in Beijing: An 8-Year Molecular Surveillance Study.

OBJECTIVES: Beijing, a large urban center with complex food supply chains, faces increasing challeng...

AI in the Prediction of Hepatic Fibrosis Progression Using Non-Coding RNAs.

Hepatic fibrosis is a dynamic and progressive condition that can lead to cirrhosis and hepatocellula...

Tissue-resolved molecular landscape reveals hepatic regulatory networks and metabolic mediators underlying feed efficiency in chickens.

INTRODUCTION: Residual feed intake (RFI) is a key indicator of feed efficiency in poultry and is reg...

Cross-cancer survival prediction using machine learning models.

Among the many challenges faced by healthcare systems, cancer remains one of the most urgent. This m...

Detection of Lung and Colon Cancer Using XRx-Net With Histopathological Images.

Lung and Colon Cancer (LCC) is a prevalent type of cancer influenced by factors such as genetics, sm...

Detecting multimorbidity patterns in Alzheimer's disease using unsupervised machine learning: A nationwide emergency department study (2007-2022).

BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with c...

IoT-based Stomach abnormality detection via hybrid MDCNN-Bi-LSTM architecture with statistical and texture features.

Stomach abnormalities pose significant health concerns, ranging from minor digestive issues to sever...

CT-based radiomics for predicting the treatment response to PD-1/PD-L1 inhibitors combined with chemotherapy in unresectable gastric cancer.

OBJECTIVE: To develop and validate a CT-based radiomics model to predict immunotherapy response in u...

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.

Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we...

Molecular and immunological heterogeneity of eosinophilic esophagitis: Insights and subtyping.

BACKGROUND: Eosinophilic esophagitis (EoE) and its related subtypes-such as EoE-like esophagitis, ly...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate...

Efficient Deep Ladle-Net for fast universal 3D lesion segmentation on chest-abdomen-pelvis computed tomography.

Accurate evaluation of tumor size on follow-up computed tomography (CT) scans is critical for assess...