Towards personalized therapy for multiple sclerosis: Prediction of individual treatment response
Brain Aug 18, 2017
Kalincik T, et al. – This study was performed to develop predictive algorithms for individual treatment response using demographic, clinical and paraclinical predictors in patients with multiple sclerosis and to evaluate the accuracy and internal and external validity of these algorithms. The physicians revealed that at the time of their commencement, demographic, clinical and paraclinical information helped in predicting individual response to disease–modifying therapies.
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