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Anastasia Sandri is a Statistician at Aalborg University, specializing in predictive modeling in the context of inflammatory bowel disease. Her research primarily focuses on the clinical predictors of pouchitis, the impact of early exposures on chronic diseases, and post-COVID fatigue in patients with immune-mediated inflammatory diseases. Sandri has contributed to multiple projects examining nationwide data from Denmark to understand the incidence and determinants of chronic conditions in patients. She is actively involved in several studies aimed at improving the management of ulcerative colitis through advanced therapies and elective colectomy. Sandri's expertise lies in analyzing complex datasets to extract insights that can inform clinical practices and policies related to gastrointestinal health.
Center for Molecular Prediction • København SV, Denmark
Responsible for developing predictive models related to inflammatory bowel disease.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.