Skip Navigation


CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable podcast. CIT can also broadcast NIH-only or HHS-only content.

Rapid, automated diagnostics for tuberculosis: a potential new benchmark

Loading video...

173 Views  
   
Air date: Friday, September 7, 2012, 2:00:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 173, (20 Live, 153 On-demand)
Category: Special
Runtime: 01:06:46
Description: The lecture has been organized to highlight a potentially formative development in tuberculosis control: the creation of an automated nucleic acid amplification test allowing health care workers to diagnose tuberculosis and detect resistance within one hundred minutes. Current testing methods require multiple weeks to deliver laboratory results. The new test, Xpert MTB/RIF, introduces the prospect of transforming TB detection and targeted treatment by enabling patients to begin treatment on the same day.
Debug: Show Debug
NLM Title: Rapid, automated diagnostics for tuberculosis : a potential new benchmark / Mark Perkins.
Author: Perkins, Mark.
National Institutes of Health (U.S.)
Publisher:
Abstract: (CIT): The lecture has been organized to highlight a potentially formative development in tuberculosis control: the creation of an automated nucleic acid amplification test allowing health care workers to diagnose tuberculosis and detect resistance within one hundred minutes. Current testing methods require multiple weeks to deliver laboratory results. The new test, Xpert MTB/RIF, introduces the prospect of transforming TB detection and targeted treatment by enabling patients to begin treatment on the same day.
Subjects: Tuberculosis, Pulmonary--diagnosis
Publication Types: Lectures
Webcasts
Download: To download this event, select one of the available bitrates:
[256k]  [512k]    How to download a Videocast
Caption Text: Download Caption File
NLM Classification: WF 220
NLM ID: 101595134
CIT Live ID: 11850
Permanent link: https://videocast.nih.gov/launch.asp?17551