Predictive Modeling to Study the Treatment-Shortening Potential of Novel Tuberculosis Drug Regimens, Toward Bundling of Preclinical Data.
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Journal:The Journal of infectious diseases, Volume: 225, Issue: 11
Given the persistently high global burden of tuberculosis, effective and shorter treatment options are needed. We explored the relationship between relapse and treatment length as well as interregimen differences for 2 novel antituberculosis drug regimens using a mouse model of tuberculosis infection and mathematical modeling.