Abstract Background The ability to predict the spatial frequency of relapses in multiple sclerosis (MS) would enable physicians to decide when to intervene more aggressively and to plan clinical trials more accurately. Methods In the current study our objective was to determine if subsets of genes can predict the time to the next acute relapse in patients with MS. Data-mining and pred... https://www.roneverhart.com/117-Varick-Street-Tribeca-NY-1914/