Inflammatory Bowel Disease

Cost-effectiveness and environmental impact of artificial intelligence-assisted colonoscopy with the resect-and-discard strategy: a microsimulation study.

Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer scre...

A blood-based test for detection of advanced adenomas and colorectal cancer (DENEB): a multicentre diagnostic accuracy study.

BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but c...

Causal associations between hormone replacement therapy and brain structure: Evidence from large-scale Mendelian randomization and double machine learning.

BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone def...

Spectral cytometry-based immune profiling coupled with machine learning identifies circulating Th1-like cells as a blood biomarker for advanced colorectal adenomas.

BACKGROUND: Colorectal cancer is the third most common malignancy worldwide. Although current screen...

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.

Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OC...

The impact of outdoor living space access on the dairy cow metabolome profile.

Welfare assessment of housed dairy cattle currently relies on subjective, snapshot-like observations...

Clinical appraisal of handheld intestinal ultrasound in inflammatory bowel disease: Where are we now?

Gastroenterologist-performed intestinal ultrasound (IUS) is increasingly used to monitor inflammator...

Metabolomics predict treatment response to vedolizumab in pediatric IBD: results from the prospective VedoKids cohort study.

BACKGROUND AND AIM: Metabolites produced through host-microbe interactions may help associate metabo...

Two-Stage Extraction of Clinical Course Information From Psychiatric Discharge Summaries Using Fine-Tuned Large Language Models: Cross-Validation Study.

BACKGROUND: Clinical course information, including disease onset, episode recurrence, and hospitaliz...

BAASNet: boundary-aware deep learning for accurate polyp segmentation in colonoscopy.

Colorectal polyps are primarily detected through colonoscopy, which plays a central role in early ca...

Artificial intelligence in pituitary surgery: the path to clinical solutions.

Artificial intelligence (AI) is rapidly moving from conceptual innovation to high-performing algorit...

See more, detect more: investigating colonic inspection techniques and polyp detection using machine learning.

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer mortality despite widespread colono...

Hair neuroendocrine signatures of acute stress reaction symptoms: Cross-national validation and latent profile heterogeneity.

The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral sym...

Systems biology integration of miR-mRNA profiles identifies steroid refractoriness mechanisms and biomarker candidates in ulcerative colitis.

Approximately 60% of patients with ulcerative colitis (UC) show steroid resistance or dependence, un...

Peripheral blood profiles reflecting progenitor lineage balance are associated with molecular response in chronic myeloid leukemia.

Early achievement of deep remission improves patients' outcome in chronic myeloid leukemia (CML) tre...

Clinical utility beyond detection rates: Interpreting artificial intelligence in FIT-positive colonoscopy.

Role of Artificial Intelligence in acromegaly detection and management.

Despite significant advances in the diagnosis and treatment of acromegaly, diagnostic delay remains ...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic infla...

Automated readings of imaging reports by natural language processing (NLP) supplemented by clinical data predict disease course in children and adults with Crohn's disease: report from the epi-IIRN.

INTRODUCTION: The implementation of imaging features in administrative databases and electronic heal...

From Uniformity to Individuality: Computational Modelling Provides a Mechanistic Rationale for Weight-Adjusted Botulinum Neurotoxin A Dosing.

Fixed-dose Botulinum neurotoxin type A regimens ignore patient-specific variables, such as body weig...

Assessing the proinflammatory potential of sterile fecal microbiome filtrate from ulcerative colitis patients using an intestine-on-chip platform and automated image analysis.

BACKGROUND AND AIMS: Ulcerative colitis (UC) is characterized by disruptions of the gut microbiome a...