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Machine learning identifies key comorbidities predicting premature death in IBD patients

Summary by News Medical

Researchers use machine learning models to investigate patterns between multimorbidity and premature deaths among decedents with irritable bowel disease.

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Machine learning identifies key comorbidities predicting premature death in IBD patients

Researchers use machine learning models to investigate patterns between multimorbidity and premature deaths among decedents with irritable bowel disease.

6 days ago·United States

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Stemwell Science News

Gut Virome and Its Implications in the Pathogenesis and Therapeutics of Inflammatory Bowel Disease

The authors reviewed the composition of the gut virome in both healthy individuals and IBD patients, emphasizing the key viruses implicated in the onset and progression of IBD. [BMC Medicine] Full Article

5 days ago

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AdventHealth

Women leading innovation: Dr. Jennifer Seminerio-Diehl’s breakthroughs in IBD treatment

As the only physician in Central Florida certified to use the intestinal ultrasound, a cutting-edge diagnostic tool still new to the U.S., Dr. Jennifer Seminerio-Diehl is transforming the way IBD is monitored and managed.

6 days ago

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ramaonhealthcare.com

AI Predicts Premature Death in Patients With IBD – RamaOnHealthcare

Almost half of patients who died with inflammatory bowel disease (IBD) died prematurely, and artificial intelligence (AI) can predict these premature deaths, according to new data.In a population-based cohort study that included more than 9000 decedents with IBD, chronic conditions developed at or before age 60 years were associated with premature death, which was defined [...]

6 days ago

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