Peptic Ulcer Disease

Machine Learning Prediction of Hospital Stay in Pediatric Typhoid Intestinal Perforation: Pilot Study.

INTRODUCTION: Typhoid intestinal perforation (TIP) remains a significant cause of pediatric morbidity in resource-limited settings, with prolonged hospitalization straining healthcare resources. Accurate prediction of hospital stay duration could optimize resource allocation and clinical decision-making, yet no TIP-specific prediction models exist. The objective of this research was to develop and...

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making in obstetrics. METHODS: Five fictional obstetric patient cases, encompassing a range of clinical presentations (preeclampsia, fetal growth restriction, preterm premature rupture of membranes, vaginal bleeding, and abdominal trauma), were presented to ...

Standardized scoring systems-essential for the AI Era in small-bowel capsule endoscopy.

Machine learning constructs a diagnostic prediction model for gangrenous perforation of acute appendicitis in elderly patients.

Biomarkers of mitochondrial dynamics in idiopathic pulmonary fibrosis: Identification and validation through transcriptomic and single-cell analyses.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease that has increasingly been associated with dysregulated mitocho...

Macrocyclic peptides as protein-protein interaction modulators: a review.

Protein-protein interactions (PPIs) govern essential cellular processes, such as signal transduction, enzymatic catalysis, and the formation of macrom...

Methods for Mapping and Analyzing Context-Specific Protein-Protein Interaction Networks.

Protein-protein interactions (PPIs) form highly dynamic and context-specific networks that vary across cell types and perturbation states. Mapping and...

Artificial Intelligence-assisted Periapical Radiographic Assessment: Lesion Detection, Endodontic Complication Analysis, and Review of Clinical Treatment Recommendations.

INTRODUCTION: Artificial intelligence (AI) systems are increasingly used in dental radiology to support endodontic diagnosis. However, their diagnosti...

High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Gastrointestinal abnormalities are widespread worldwide and pose a significant health challenge. However, their mortality rate can be significantly re...

MechMemDyn: Coupling Frustration Analysis with Membrane Dynamics to Target the TREM2-DAP12 Complex Interface.

The transmembrane complex formed by TREM2 (Triggering Receptor Expressed on Myeloid cells 2) and DAP12 (DNAX-activating protein of 12 kDa) constitutes...

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is undergoing a critical transition from a traditional expe...

Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia.

Global implementation of gastric cancer (GC) screening in chronic dyspepsia populations faces challenges due to the high number-needed-to-scope (NNS) ...

Artificial Intelligence in Haemophilia Care: A Narrative Review of Current Evidence and Future Opportunities.

Artificial intelligence (AI) is increasingly explored in healthcare for its capacity to analyse complex data, support clinical decision-making and ena...

Integrating Next-Generation Sequencing into von Willebrand Disease Diagnostics: Insights from the PCM-EVW-ES Multicenter Project.

Von Willebrand disease (VWD) is the most common inherited bleeding disorder, caused by quantitative or qualitative defects in von Willebrand factor (V...

Machine learning for prognostic assessment in elderly patients with gastroduodenal perforation.

In-hospital outcomes and cost-effectiveness of transcatheter aortic valve replacement among younger patients: a double/debiased machine learning approach using electronic health records in Germany.

BACKGROUND: The prevalence of severe symptomatic aortic stenosis is increasing with population aging. Although surgical aortic valve replacement (SAVR...

HopWD-DTA: a novel framework for drug-target affinity prediction fusing multi-hop neighborhoods and deep features.

CONTEXT: Accurate prediction of drug-target affinity (DTA) is crucial for accelerating drug discovery, but it remains a significant challenge. While d...

Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.

Protein-protein interactions (PPIs) are essential for cellular processes and play central roles in disease mechanisms, making them important therapeut...

Artificial intelligence and image processing framework for automated airway invasion detection and residue classification from swallowing endoscopy.

Fiberoptic endoscopic evaluation of swallowing (FEES) is a widely used instrumental method for dysphagia, but its interpretation depends on lighting a...

Integrative bioinformatics and machine learning identify shared molecular mechanisms and diagnostic biomarkers between Helicobacter pylori infection and atrial fibrillation.

BACKGROUND: Helicobacter pylori (H. pylori) infection and atrial fibrillation(AF) are major global health concerns. Emerging evidence has suggested a ...