USING MACHINE LEARNING FOR DRUG DISCOVERY IN IBD
Résumé
Inflammatory Bowel Disease (IBD) refers to
two conditions: ulcerative colitis (UC) and
Crohn disease (CD) [1]. IBD has a range of
clinical symptoms including abdominal pain,
diarrhoea, weight loss, constipation, and fatigue
[2]. The main cause of IBD is unknown, but it
is the result of a weakened immune system. The
possible causes of IBD involve genetic and
environmental factors. Unfortunately, with
conventional diagnostic methods it is hard to
predict therapeutic responsiveness of patients
beforehand [3]. Genetic expression may be a
valuable prediction tool to determine patient’
responsiveness to treatment.
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