An algorithm using clinical data to predict the optimal individual glucocorticoid dosage to treat multiple sclerosis relapses.

Our model could predict the GC dose given in clinical, routine MS relapse care, above which clinicians estimate no further benefit. Further studies should validate and improve our algorithm to help the implementation of predictive models in GC dosing.