Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time

@inproceedings{Lee2017DrugRI,
  title={Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time},
  author={B Y Lee and Daniel L. Clemens and Aleidy Silva and Barbara Jane Dillon and Sa{\vs}a Masle{\vs}a-Gali{\'c} and Susana Nava and Xianting Ding and Chih-Ming Ho and Marcus A. Horwitz},
  booktitle={Nature communications},
  year={2017}
}
The current drug regimens for treating tuberculosis are lengthy and onerous, and hence complicated by poor adherence leading to drug resistance and disease relapse. Previously, using an output-driven optimization platform and an in vitro macrophage model of Mycobacterium tuberculosis infection, we identified several experimental drug regimens among billions of possible drug-dose combinations that outperform the current standard regimen. Here we use this platform to optimize the in vivo drug… CONTINUE READING
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