Peptic Ulcer Disease

Advanced QSPR modeling of profens using machine learning and molecular descriptors for NSAID analysis.

In this paper, we present a predictive model based on artificial neural network (ANN) to evaluate pr...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fib...

Screening for endometriosis: A scoping review of screening measures that could support early diagnosis.

BACKGROUND: Endometriosis is prevalent in approximately 6-10% of all women of reproductive age and i...

A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization.

With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to lear...

Machine learning to forecast rituximab responses for paediatric immune thrombocytopenia: Forging a path towards personalized medical care.

Primary immune thrombocytopenia (ITP) is an autoimmune disorder characterized by decreased platelet ...

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP.

BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), chara...

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, senso...

The Helicobacter pylori AI-clinician harnesses artificial intelligence to personalise H. pylori treatment recommendations.

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen globally and the leading ca...

A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.

Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream g...

Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection.

Hilar cholangiocarcinoma (hCCA), a rare cancer of the biliary system, has a poor prognosis. This stu...

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the genera...

Analysis of Protein-Protein Interactions in CC125 by Co-Fractionation Mass Spectrometry.

, a unicellular eukaryotic green alga, is an important biological model. Previous studies on protein...

How machine learning on real world clinical data improves adverse event recording for endoscopy.

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accu...

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization.

Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of ...

Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer.

Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and s...

Advantages and effectiveness of AI three-dimensional reconstruction technology in the preoperative planning of total hip arthroplasty.

In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technol...

Deep learning-based allergic rhinitis diagnosis using nasal endoscopy images.

Allergic rhinitis typically has edematous and pale turbinates or erythematous and inflamed turbinate...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...

Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease.

Moyamoya disease (MMD) is a rare occlusive cerebrovascular disease, and its pathological mechanism r...

Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.