Inflammatory Bowel Disease

Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.

BACKGROUND: Traditional auscultation, heavily dependent on the subjective judgment of physicians, ca...

Machine learning-based transcriptomic analysis of differentially expressed genes in the epithelium and stroma of keratoconus.

BACKGROUND: This study was conducted to delineate layer-specific transcriptomic alterations in the k...

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In thi...

Beyond Weight Loss: Obesogenic Memory as Biological Hysteresis in Adipose Tissue Revealed by AI Semantic Mapping With an Exportable Core Corpus.

BACKGROUND: Obesity is commonly viewed as a reversible condition primarily driven by excess body wei...

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, w...

Development and Clinical Validation of an Automated Artificial Intelligence System for Bowel Wall Thickness Assessment in Adult Inflammatory Bowel Diseases.

PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD)....

Design and implementation of an end-to-end AI-driven colonoscopy recall workflow at scale.

OBJECTIVES: To develop a large-language-model (LLM)-centric workflow flow extraction and migration o...

A Machine-Learning Approach to Predicting Adenoma Detection and Surveillance Impact of Deeper Sections in Colorectal Polypectomy Specimens.

CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of color...

Development and validation of a machine learning model to predict recurrence in polypoidal choroidal vasculopathy: a multicentre prospective study.

AIM: This study aims to develop and validate machine learning models for predicting recurrence in po...

CAD-SEL: A dual-modal colonoscopy dataset of subepithelial lesion.

Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of his...

Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT.

BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasophar...

Integrating Genomics and Proteomics to Identify Causal Proteins and Biologic Pathways for Incident Atrial Fibrillation in CKD.

KEY POINTS: Using proteomics and Mendelian randomization, we identified causal proteins for the deve...

Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients.

OBJECTIVES: Diagnostic delay in Crohn's disease (CD) may increase the risk of poor prognosis. This s...

Imaging of Small Cell Lung Cancer: An Updated Overview of Current and Emerging Applications.

Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by r...

The role of artificial intelligence in colonoscopy performance and quality among gastroenterology fellows.

Advancing IBD Management: A Literature Review on the Role of Non-Invasive Blood-Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment.

Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therape...

Current and Emerging Therapies Targeting the IL-23/IL-17 Axis in Psoriasis.

Over the past two decades, experimental and clinical evidence has established the interleukin-23 (IL...

Intestinal alkaline phosphatase and gut health: insights into homeostasis, barrier protection, and immune signaling.

Intestinal alkaline phosphatase (IAP) is a brush border enzyme critical for maintaining gut homeosta...

Neural Stem Cell-Derived Extracellular Vesicles: The Next Frontier in Neurological and Neurodegenerative Diseases.

The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracell...

Identification and Screening of Lactate-Related Genes as Molecular Markers for Early Diagnosis of Steroid-Induced Osteonecrosis of the Femoral Head.

Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young...

Performance of artificial intelligence software: EndoAngel, EndoAID, CAD-EYE, GI Genius, and EndoScreener in adenoma detection: an extended network meta-analysis.

BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomat...