Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
oleh: Bai-Yu Lee, Daniel L. Clemens, Aleidy Silva, Barbara Jane Dillon, Saša Masleša-Galić, Susana Nava, Xianting Ding, Chih-Ming Ho, Marcus A. Horwitz
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2017-01-01 |
Deskripsi
Current antibiotic therapies for tuberculosis are lengthy and onerous. Here, the authors use an output-driven approach to optimize drug doses for two experimental drug regimens in a mouse model of tuberculosis, leading to improved regimens that reduce treatment time by 75%.