Research topics
AI and data science articles covering predictive models, machine learning, algorithms, and data-driven IBD research.
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This study suggests machine learning of stool microbiome data could eventually help distinguish IBD (especially Crohn’s) from healthy people and some other bowel or systemic conditions.
A predictive model for temporary stoma could influence surgical planning for people with Crohn’s disease, helping tailor decisions and expectations around intestinal resection.
A validated AI biomarker that predicts which IBD treatments are likely to work could reduce trial-and-error in treatment choices, potentially shortening time to effective therapy for people with Crohn's disease or...
This paper highlights potential ubiquitination-related genes and immune-cell patterns that could help researchers understand Crohn’s disease biology and point to new targets for lab validation. For patients, it signals...
This notes a new oral investigational drug (Amelenodor/NX-13) in Phase I for Crohn’s and ulcerative colitis and highlights industry predictions about its chances of advancing. People with IBD may want to know about...
