Inflammatory Bowel Disease

Pubertal Hormones and the Early Adolescent Female Brain: A Multimodality Brain MRI Study.

Puberty is a critical developmental process that is associated with changes in pubertal (or steroid) hormone levels, which are believed to influence adolescent behaviour via their effects on the developing brain. So far, there are limited and inconsistent findings regarding the relationship between steroid hormones and brain structure and function in adolescent females, with many existing studies ...

Impact of Artificial Intelligence for Detection of Precancerous Colonic Lesions in a Fecal Immunochemical Blood Test-Based Organized Screening Program in Italy: A Randomized Control Trial.

BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organized colorectal cancer (CRC) screening programs, including Italy. Following a positive FIT, colonoscopy is recommended. Computer-aided detection (CADe) systems have the potential to enhance adenoma detection, particularly in FIT-positive populations where identifying advanced adenomas is critical for...

Changing the container closure system of lyophilized products: Real or perceived risk to process efficiency and product quality?

The container-closure system (CCS), specifically the glass vial, plays a pivotal role in heat transfer during lyophilization, thereby influencing proc...

State of the art in soft eversion robots for colonoscopy: a review.

This review explores the current state of eversion robotics in the context of colonoscopy, given the need for less invasive, more patient-friendly scr...

Radiomics++: Review of Habitat Imaging Analysis for Decoding Tumor Heterogeneity.

Tumors display genomic and phenotypic heterogeneity, which holds prognostic significance and may influence therapy response. Radiographic imaging moda...

[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatme...

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of patients achieving remission with initial antidepres...

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion.

BACKGROUND: Benign adrenal tumours, found in 1-7% of adults, can be non-functioning (NFAT) or show mild autonomous cortisol secretion (MACS), i.e., bi...

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients with inflammatory bowel disease (IBD), with high re...

Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.

BACKGROUND: Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly ...

Digital horizons: Exploring the future of AI-enabled gastroenterology in the Kingdom of Saudi Arabia.

Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnostic precision, procedural quality, and operational ...

From Clusters to Outcomes: Machine Learning-Based Phenotyping in Intermediate-High-Risk Acute Pulmonary Embolism.

Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biol...

Intestinal transcriptomic analysis and prediction of biomarkers associated with mucosal healing following vedolizumab treatment in ulcerative colitis using machine learning.

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA)...

Computer Aided Polyp Detection Multi-center International Randomized Controlled Study with a Focus on Community Clinics: GAIN Clinical Trial.

BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at a...

Caries Microbiome: time to move from blame to balance.

BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the concept of functional diversity within biofilm commu...

The 2025 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board.

Using a systematic literature search of original articles published during 2025 in Gastrointestinal Endoscopy (GIE) and other high-impact medical and ...

Randomized evidence on AI-enabled personalized treatment planning for adults with depressive-anxiety Spectrum disorders: A systematic review and Meta-analysis.

BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet its clinical impact across modalities remains uncer...

Machine learning-based identification of factors associated with spontaneous abortion in patients with Systemic lupus erythematosus (SLE): Insights from the Egyptian College of Rheumatology (ECR)-SLE cohort.

BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and is associated with an increased risk of spontaneo...

Artificial Intelligence and Its Role in Endoscopic Adenoma and Cancer Detection.

Colorectal cancer incidence and mortality have declined over time, due in part to high-quality screening and surveillance colonoscopy. Nevertheless, p...