GERD

Integration of transcriptomic data identifies CD163 as a key link between chronic rhinosinusitis with nasal polyps and COVID-19.

BACKGROUND: Emerging evidence has highlighted a potential link between chronic rhinosinusitis with nasal polyps (CRSwNP) and coronavirus disease 2019 (COVID-19). However, the exact mechanism driving this association is not well understood. We aimed to explore the biological pathways and differentially expressed genes (DEGs) involved in CRSwNP and COVID-19 by performing bioinformatic analyses. METH...

Old Dogs Can Learn New Tricks: Artificial Intelligence Improves Adenoma Detection Rates in Screening Colonoscopies in Experienced Endoscopists.

BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use of artificial intelligence has emerged to assist with the identification of adenomas. OBJECTIVE: Evaluating if adopting artificial intelligence-powered computer-aided detection systems in colonoscopy will increase the adenoma detection rate, with the ...

Comparative Performance of Artificial Intelligence-Based Computer-Aided Detection Systems for Colorectal Polyps: A Systematic Review and Network Meta-Analysis.

BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematica...

Artificial intelligence in gastroenterology clinical practice: Scoping review of large language model applications.

BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...

AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.

Drug-target interactions (DTIs) are fundamental to drug discovery, development, and repositioning. However, experimental methods for DTI identificatio...

Machine Learning Prediction of Prevertebral Soft Tissue Swelling after Single-Level Anterior Cervical Surgery : A Proof-of-Concept Study.

OBJECTIVE: Prevertebral soft tissue swelling (PSTS) is a significant complication of anterior cervical spine surgery (ACSS) that causes dysphagia, dys...

WGCNA and machine learning identify mitochondria programmed cell death-related genes as diagnostic biomarkers for septic shock.

Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...

Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation.

Accurate endoscopy reports are crucial for the diagnosis and management of patients with upper gastrointestinal (UGI) diseases, yet errors and omissio...

DeepISO: deep learning-powered prediction of protein-protein interaction rewiring generated by alternative splicing.

Isoforms from the same gene can significantly rewire protein interaction networks, but proteome-wide computational evaluation of these effects remains...

Association of depression and gastrointestinal diseases: a three-stage study.

BACKGROUND: Depression as a mental illness is commonly observed to co-occur with various somatic diseases, such as gastrointestinal diseases. However,...

In silico discovery of selective TPX2 and BUB1B inhibitors as novel antimitotic agents in breast cancer therapy.

Breast cancer (BC) is one of the most common malignancies in women globally, characterized by significant genetic and clinical heterogeneity. This com...

Probing uric acid-related prognostic genes and their molecular mechanisms in prostate cancer based on transcriptomic data.

Recent studies highlight the role of uric acid in tumor development, but its impact on prostate cancer (PCa) remains underexplored. This study aimed t...

Glioblastoma diagnostic models and therapeutic drug discovery based on GEO data and machine learning methods.

BACKGROUND: Glioblastoma (GBM) remains lethal due to high molecular heterogeneity and treatment resistance. While previous studies have proposed vario...

Integrated bioinformatics and machine learning, research on specific biomarkers for large-artery atherosclerosis stroke.

Large-artery atherosclerosis stroke (LAA) is the main subtype of ischemic stroke. Currently, the diagnosis of LAA is confirmed through magnetic resona...

Embedding artificial intelligence literacy in endoscopy training: extending the European Society of Gastrointestinal Endoscopy (ESGE) curriculum framework.

INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy.

BACKGROUND & AIMS: Capsule endoscopy (CE) is a noninvasive technique for diagnosing Crohn's disease (CD); however, manual interpretation of CE videos ...

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, particularly in radiology, pathology, endoscopy, and ...

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endosco...

Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models.

Lung cancer (LC) is one of the most prevalent and deadly cancers globally, presenting a major public health challenge. Patients with chronic obstructi...

Artificial intelligence and capsule endoscopy.

The advent of artificial intelligence (AI) is revolutionizing today's clinical practice, particularly in gastroenterology, where capsule endoscopy (CE...