Precision medicine in celiac disease: A step ahead

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

CD: Celiac disease; HLA: Human leucocyte antigen.