Research topics
AI and data science articles covering predictive models, machine learning, algorithms, and data-driven IBD research.
Page 3 of 3 · 114 articles
People with Crohn’s disease facing surgery may have varying risks of complications; better biomarkers and models could help tailor perioperative care and decision-making. The review signals active research toward more...
AI tools are being tested to speed capsule endoscopy reading and help triage cases, which matters to people with IBD because capsule endoscopy is commonly used to detect small-bowel ulcers and inflammation.
People with IBD face an elevated lifetime risk of colitis-associated cancer; improved detection and risk prediction could lead to earlier treatment and better outcomes. AI could make surveillance more accurate and...
Measuring both how severe inflammation is and how much of the colon is affected could give a fuller picture of disease burden than current focal endoscopic scores. For patients with UC, that may affect risk assessment...
Vitamin D supplementation is commonly considered in people with IBD because deficiency is frequent and low vitamin D may relate to inflammation.
The gut microbiome differed more in pediatric Crohn’s disease and acute pancreatitis than in IBS or healthy kids, suggesting microbial changes are stronger in organic inflammatory disease and could be targets for future...
New, non-invasive biomarkers and AI-driven multi-omic approaches could make diagnosis and treatment of IBD more precise, helping patients avoid invasive tests and improving chances of choosing effective therapies sooner.
Postoperative recurrence after ileal resection is common in Crohn’s disease; understanding microbial changes linked to recurrence could help explain mechanisms and guide future biomarker development.
This paper links specific features of the gut bacterial flagellome to TLR5-driven immune activation and reports a disease-associated shift in flagellin profiles in Crohn’s disease and ulcerative colitis, suggesting...
The study maps cell types and signals linked to submucosal scarring in Crohn's disease, a complication without drug treatments that often requires surgery. Understanding these mechanisms could point to future therapeutic...
Genetic ancestry can influence IBD risk and disease course, and most prior studies focused on European populations.
Distinguishing Crohn’s from ulcerative colitis can be hard and often requires invasive tests. A reliable blood test would speed diagnosis and help patients start the right treatments sooner. This study is an early step...
AI-assisted capsule endoscopy may improve detection of Crohn’s disease lesions and reduce missed findings, which could affect diagnosis and monitoring. People with IBD may see faster or more consistent reads of capsule...
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...
