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10.15698/mic2017.11.596 http://scihub22266oqcxt.onion/10.15698/mic2017.11.596 C5695853!5695853!29167798     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Microb+Cell ä ; 4 (11): 365-7 Nephropedia Template TP {{tp|p=29167798|t=ä. Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis |pdf=|usr=}}{{29167798}} gab.com Text Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis JO: Microb Cell http://www.kidney.de/pget.php?&tw=1&pmid=29167798 #FOAvip Tuberculosis produces two clinical manifestations: active and latent (non-apparent) disease. The latter is estimated to affect one-third of the world population and constitutes a source of continued transmission should the disease emerge from its hidden state (reactivation). Methods to diagnose latent TB have been evolving and aim to detect the disease in people who are truly infected with M. tuberculosis, versus those where other mycobacteria, or even other pathologies not related to TB, are present. The current use of proteomic and transcriptomic approaches may lead to improved detection methods in the coming years. Twit Text FOAVip Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis ????Microb Cell http://www.kidney.de/pget.php?&tw=1&pmid=29167798 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29167798 #FOAvip English Wikipedia <ref>{{Cite pmid|29167798}}</ref> Uncovering the hidden: complexity and strategies for diagnosing latent tuberculosis #MMPMID29167798 Flores-Valdez MA Microb Cell ä[]; 4 (11): 365-7 PMID29167798show ga Tuberculosis produces two clinical manifestations: active and latent (non-apparent) disease. The latter is estimated to affect one-third of the world population and constitutes a source of continued transmission should the disease emerge from its hidden state (reactivation). Methods to diagnose latent TB have been evolving and aim to detect the disease in people who are truly infected with M. tuberculosis, versus those where other mycobacteria, or even other pathologies not related to TB, are present. The current use of proteomic and transcriptomic approaches may lead to improved detection methods in the coming years. äUncovering the hidden: complexity and strategies for diagnosing latent(epmc).pdf DeepDyve Pubget Overpricing