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Communication Dans Un Congrès Année : 2023

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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Dates et versions

hal-04097613 , version 1 (15-05-2023)

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  • HAL Id : hal-04097613 , version 1

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Sarah Kidwai, David Rojas-Velazquez, Dora Kožinec, Lukas Vaišvilas, Paula Perez-Pardo, et al.. USING MACHINE LEARNING FOR DRUG DISCOVERY IN IBD. CMBBE 2023 - 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE 2023), May 2023, Paris, France. ⟨hal-04097613⟩
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