Peptic Ulcer Disease

A hybrid machine learning framework with two-step feature selection for identifying key biomarkers and drug targets in monkeypox.

Monkeypox (Mpox) is a viral disease that has garnered global attention due to its human-to-human transmissibility and cross-species transmission. Recent outbreaks in both endemic and non-endemic regions highlight the urgent need to elucidate its molecular mechanisms and evolutionary dynamics. As of now, there are no approved antiviral therapies available for the treatment of Mpox. In this work, we...

Enhancing decision-making in surgery for a large temporocorneal meningioma through an explainable human-AI collaboration: a case report.

BACKGROUND: Meningiomas, particularly large temporocorneal meningiomas, pose significant surgical challenges due to their proximity to critical brain structures. Achieving optimal tumor resection while minimizing neurological deficits requires advanced decision-making strategies. This case report explores the integration of an explainable artificial intelligence (AI) system into the neurosurgical ...

Identification and validation of novel diagnostic biomarkers across multiple tissues in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...

ESD-VesNet: uncertainty-aware vessel segmentation network for endoscopic submucosal dissection with hard negative mining.

PURPOSE: Preventing intraoperative bleeding in endoscopic submucosal dissection (ESD) relies on the timely identification and pre-coagulation of submu...

Technical and clinical feasibility of single-use gastroscopy with real-time AI-based quality monitoring and single-use colonoscopy: a prospective two-center study.

BACKGROUND: Single-use gastrointestinal endoscopes eliminate the need for post-procedure reprocessing and have become an area of interest in endoscopi...

Key molecular mechanisms of mitochondrial metabolic pathways in specific cell subpopulations of pancreatic cancer based on scRNA-seq and bulk RNA-seq.

BACKGROUND: Pancreatic cancer (PC) is a highly malignant tumor with increasing incidence, mortality, and a low five-year survival rate. Mitochondrial ...

Aspartame exposure promotes endometriosis progression through PTGS2-mediated oxidative stress and mitochondrial dysfunction.

BACKGROUND: Aspartame, a widely used artificial sweetener, has been implicated in multiple toxicities. However, its potential reproductive toxicity me...

Artificial intelligence-assisted diagnostic endoscopy: time to address the next research questions.

How Does Artificial Intelligence-Assisted Endoscopy Impact Upper Gastrointestinal Screening?

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal anti-inflammatory drugs (NSAIDs) during emergency d...

Screening of Medicinal and Edible Homology Substances for Diabetic Kidney Disease Based on GraphBAN.

BACKGROUND: Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes mellitus, and the current pharmacotherapies are limited...

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...

Tree-Guided Graph Neural Networks with Multilevel Optimization for Protein-Protein Interaction Prediction.

Predicting human-virus protein-protein interactions (PPI) is crucial for revealing viral infection and disease development. Graph neural networks serv...

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...

Assessment of the accuracy and readability of artificial generative intelligence for patient questions on heavy menstrual bleeding.

OBJECTIVES: To evaluate the quality, patient-centeredness, clinician endorsement, and readability of generative artificial intelligence (AI) responses...

Is Nonpapillary Puncture a Feasible Alternative to Papillary Access in Percutaneous Nephrolithotomy? A Systematic Review and Meta-Analysis.

PURPOSE: Percutaneous nephrolithotomy (PCNL) is the gold standard for treating large and complex renal calculi, but puncture path selection (papillary...

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...

Combined Effects and Potential Mechanisms of Multiple Metals Exposure on Coronary Artery Disease in the US Population: An Integrated Epidemiological and Network Toxicology Study.

Coronary artery disease (CAD) emerged as a major global health burden, but the relationship between multiple metals exposure and CAD and its toxicolog...

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...

Radiation scatter at fluoroscopy-guided endoscopic procedures: Building towards further optimization.

INTRODUCTION: Exposure to ionizing radiation by endoscopy personnel during fluoroscopy-guided procedures remains a health hazard. We aimed to evaluate...