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©The Author(s) 2025.
Artif Intell Gastroenterol. Jun 8, 2025; 6(1): 105682
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.105682
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.105682
Table 1 Precision medicine in celiac disease: Machine learning applications
Machine learning application in celiac disease | Description |
Screening and early diagnosis | Predicting CD likelihood using clinical and genetic data, enabling earlier intervention |
Genetic analysis | Algorithms identify genetic markers (HLA-DQ2/DQ8) to assess susceptibility to CD |
Subtype identification | Differentiating between CD subtypes for personalized treatment plans |
Disease progression prediction | Analyzing datasets helps predict disease progression and guide patient management |
Dietary management | Identifying gluten in foods and providing personalized dietary recommendations |
Patient stratification | Stratifying patients by severity and treatment response, optimizing care strategies |
Drug discovery | Analyzing data to identify new drug targets and predict treatment responses for CD therapies |
Patient support | Personalized information and support, enhancing patient quality of life |
- Citation: Rahmoune H, Boutrid N, Benchoufi I. Precision medicine in celiac disease: A step ahead. Artif Intell Gastroenterol 2025; 6(1): 105682
- URL: https://www.wjgnet.com/2644-3236/full/v6/i1/105682.htm
- DOI: https://dx.doi.org/10.35712/aig.v6.i1.105682