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公开(公告)号:US10168315B2
公开(公告)日:2019-01-01
申请号:US14438807
申请日:2013-10-27
Inventor: Hossam Haick , Morad Nakhleh
Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
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公开(公告)号:US20150301021A1
公开(公告)日:2015-10-22
申请号:US14438807
申请日:2013-10-27
Inventor: Hossam Haick , Morad Nakhleh
IPC: G01N33/497 , G01N27/12 , G01N27/26
CPC classification number: G01N33/497 , A61B5/082 , G01N27/04 , G01N27/127 , G01N27/22 , G01N27/26 , G01N2033/4975 , G01N2333/35 , G01N2800/12 , G01N2800/26
Abstract: A sensor technology comprising a single nano-material (gold nanoparticles and/or carbon nanotube) based sensor or a plurality of sensors in conjunction with a pattern recognition algorithm for non-invasive and accurate diagnosis of tuberculosis caused by M. tuberculosis bacteria in a subject. The sensor technology is suitable for population screening of tuberculosis, particularly in resource-poor and developing countries.
Abstract translation: 一种传感器技术,包括基于单个纳米材料(金纳米颗粒和/或碳纳米管)的传感器或多个传感器,结合用于由受试者中结核分枝杆菌引起的非侵入性和准确诊断结核病的模式识别算法 。 传感器技术适用于结核病人群筛查,特别是资源匮乏和发展中国家。
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