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Predictive Analytics, Risk Factors May Help Identify Crohn’s Disease

March 31, 2020 / Jessica Kent

Mount Sinai researchers have developed new predictive analytics tools and identified environmental risk factors that could lead to a new understanding of what triggers Crohn’s disease.In a series of four studies published in the journal Gastroenterology, Mount Sinai inflammatory bowel disease (IBD) researchers offer new ways to identify individuals who have a high likelihood of developing the disease. This could result in more effective prevention efforts, the team stated.Early identification of individuals at high risk for disease development could allow for close monitoring and interventions to delay, attenuate, or even halt disease initiation,said Jean-Frederic Colombel, MD, Professor of Medicine (Gastroenterology) at the Icahn School of Medicine at Mount Sinai and Co-Director of Mount Sinai’s Susan and Leonard Feinstein Inflammatory Bowel Disease Clinical Center.This is highly relevant as we seek to predict and prevent IBD, which continues to sharply increase in numbers...