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Inflammatory bowel disease (IBD) is a group of chronic progressive gastrointestinal diseases that can recur throughout life and for which there is no cure. Biologics, the first line of treatment, are not only expensive, but also 30-50% of patients lack response to this type of drug therapy. However, there is a lack of reliable methods to predict the clinical efficacy of biologics. The aim of this study is to construct a reliable model to predict patients' response to biologics therapy by comprehensively analysing patients' clinical characteristics, biomarkers and other information to guide individualized therapy. In this study, we will collect clinical data from IBD patients at Peking University First Hospital, including but not limited to patients' baseline characteristics, biomarker levels, and efficacy responses, etc. We will establish a complete patient dataset using a cohort study,
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