Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

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Showing 547-567 of 2,060 articles
Predicting treatment outcome in congenital adrenal hyperplasia using urine steroidomics and machine learning.

OBJECTIVE: Treatment monitoring of individuals with congenital adrenal hyperplasia (CAH) remains uns...

Comprehensive Characterization of Antidepressant Pharmacogenetics: A Systematic Review of Studies in Major Depressive Disorder.

Pharmacogenetics is a promising strategy to facilitate individualized care for patients with Major D...

Effect of Cumulative Exposure on the Efficacy of Paroxetine: A Population Pharmacokinetic-Pharmacodynamic and Machine Learning Analyses.

Selective serotonin reuptake inhibitors (SSRIs) are widely used in depression treatment. However, th...

Development and validation of the Open-Source Automatic Bowel Preparation Scale.

BACKGROUND AND AIMS: Insufficient bowel preparation accounts for up to 42% of missed adenomas in col...

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification.

A major challenge in applying deep learning to medical imaging is the paucity of annotated data. Thi...

Optimizing Pix2Pix GAN With Attention Mechanisms for AI-Driven Polyp Segmentation in IoMT-Enabled Smart Healthcare.

This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images,...

Polyp-Size: A Precise Endoscopic Dataset for AI-Driven Polyp Sizing.

Colorectal cancer often arises from precancerous polyps, where accurate size assessment is vital for...

A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma.

The radiological dosimetric parameters and clinical features were screened by machine learning to co...

A Digital Score Based on Circulating-Tumor-Cells-Derived mRNA Quantification and Machine Learning for Early Colorectal Cancer Detection.

Circulating tumor cells (CTCs) serve as valuable biomarkers in tumor circulation, carrying essential...

Lead Informed Artificial Intelligence Mining of Antitubercular Host Defense Peptides.

Identifying host defense peptides (HDPs) that are effective against drug-resistant infections is cha...

Dendritic cell-based microrobots for enhanced systemic antigen-specific immune tolerance.

Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...

Applications of generative artificial intelligence in inflammatory bowel disease: A systematic review.

BACKGROUND AND AIMS: Inflammatory bowel diseases (IBD) are chronic conditions that can lead to a phy...

Revisiting the role of steroidal therapeutics in the 21st century: an update on FDA approved steroidal drugs (2000-2024).

Steroids are biologically active polycyclic compounds that have garnered significant scientific atte...

LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS...

Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study.

OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical ...

[Role of Artificial Intelligence in Improving Quality of Colonoscopy].

Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...

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