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Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach

Medicine and Health

Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach

F. L, C. F, et al.

This study conducted by Ferrè et al. explores the innovative application of machine learning to uncover a genetic signature for predicting how relapsing-remitting multiple sclerosis patients respond to fingolimod treatment. With promising findings from two cohorts, combining clinical and genetic data enhances prediction accuracy, paving the way for future research in personalized medicine.

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