https://www.selleckchem.com/pr....oducts/H-89-dihydroc
No relapse risk prediction tool is currently available to guide treatment selection for multiple sclerosis (MS). Leveraging electronic health record (EHR) data readily available at the point of care, we developed a clinical tool for predicting MS relapse risk. Using data from a clinic-based research registry and linked EHR system between 2006 and 2016, we developed models predicting relapse events from the registry in a training set (n=1435) and tested the model performance in an independent validation set of MS patients (n
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