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Inflammatory Bowel Disease

Overview of prediction pipeline and models used across prediction tasks. We specified 3 modelling tasks for predicting premature death among people with inflammatory bowel disease (IBD). We then used 3 types of models, namely logistic regression, random forest, and Extreme Gradient Boosting (XGBoost); XGBoost was the only model used for task 3 as it enabled direct modelling of missing data (those without conditions would have missing data). See Related Content for accessible version. Note: CCS = chronic coronary syndrome, CHF = congestive heart failure, COPD = chronic obstructive pulmonary disease, ED = emergency department, HTN = hypertension, MI = myocardial infarction, RA = rheumatoid arthritis.

AI Finds Nearly Half of IBD Patients Die Prematurely

Scale with healthy foods

Prebiotics Show Promise in Managing Inflammatory Bowel Disease, but Caution Needed

Infographic explaining the urine process

What makes urine yellow? Scientists discover the enzyme responsible

IBD illustration of man holding stomach

Inflammatory Bowel Disease Varies by Race, Sex and Birthplace

Emily C. Gentry, PhD

New method finds biomarker for inflammatory bowel disease

Human digestive tract and biome. Pixabay

First comprehensive guideline on using biomarkers for monitoring Crohn’s disease

Salk researchers discovered the compound FexD can treat intestinal inflammation in mice. Mice with symptoms similar to inflammatory bowel disease had changes to the cells lining their intestines (left) that were reversed with treatment (right).

Compound reverses gut inflammation in mice

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