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1. 发明授权

US09347945B2 Methods and marker combinations for screening for predisposition to lung cancer 有权
标题翻译：用于筛选肺癌易感性的方法和标记物组合
公开(公告)号：US09347945B2
公开(公告)日：2016-05-24
申请号：US11771727
申请日：2007-06-29
申请人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
发明人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
IPC分类号： G01N33/53 , G01N33/574 , C07K14/47
CPC分类号： G01N33/57423 , C07K14/4738 , G01N2333/47 , G01N2333/4703 , G01N2333/4725 , G01N2333/4739 , G01N2333/4742 , G01N2333/4748 , G01N2333/705 , G01N2333/70596 , G01N2333/775 , G01N2333/8125 , G01N2333/91205
摘要： The present invention relates to rapid, sensitive methods for determining whether a subject is at risk of developing lung cancer or has lung cancer based on certain combinations or biomarkers or biomarkers and biometric parameters.
摘要翻译：本发明涉及用于确定受试者是否处于基于某些组合或生物标志物或生物标志物和生物测定参数发展为肺癌或具有肺癌的风险的快速，敏感的方法。

2. 发明申请

US20120071334A1 Methods And Marker Combinations For Screening For Predisposition To Lung Cancer 审中-公开
标题翻译：方法和标记组合筛查肺癌的倾向
公开(公告)号：US20120071334A1
公开(公告)日：2012-03-22
申请号：US12667069
申请日：2008-06-27
申请人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
发明人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
IPC分类号： C40B30/04 , G01N33/566 , G01N33/53 , C07K14/435 , C07K7/08
CPC分类号： G01N33/57423 , C07K14/4738 , G01N2333/47 , G01N2333/4703 , G01N2333/4725 , G01N2333/4739 , G01N2333/4742 , G01N2333/4748 , G01N2333/705 , G01N2333/70596 , G01N2333/775 , G01N2333/8125 , G01N2333/91205
摘要： The present invention relates to rapid, sensitive methods for determining whether a subject has or is at risk of developing lung cancer based on certain combinations of biomarkers, or biomarkers and biometric parameters. The methods consist of: a) quantifying in a test sample obtained from a subject, the amount of two or more biomarkers in a panel, the panel comprising at least one antibody and at least one antigen: b) comparing the amount of each biomarker quantified in the panel to a predetermined cutoff for said biomarker and assigning a score for each biomarker based on said comparison: c) combining the assigned score for each biomarker quantified in step b to obtain a total score for said subject: d) comparing the total score in step c with a predetermined total score and e) determining whether said subject has a risk of lung cancer based on the comparison in step d.
摘要翻译：本发明涉及用于基于生物标志物或生物标志物和生物测定参数的某些组合来确定受试者是否具有或具有发展肺癌的风险的快速，敏感的方法。所述方法包括：a）定量在受试者获得的测试样品中，面板中两个或多个生物标志物的量，所述面板包含至少一种抗体和至少一种抗原：b）比较每个生物标记物的量在所述面板中，对于所述生物标志物的预定截留值，并且基于所述比较分配每个生物标志物的得分：c）组合在步骤b中定量的每个生物标志物的指定得分以获得所述受试者的总分数：d）比较总分数在步骤c中具有预定的总分，以及e）基于步骤d中的比较来确定所述受试者是否具有肺癌的风险。

3. 发明申请

US20080160546A1 Methods and Marker Combinations for Screening For Predisposition to Lung Cancer 有权
标题翻译：筛选肺癌易感性的方法和标记物组合
公开(公告)号：US20080160546A1
公开(公告)日：2008-07-03
申请号：US11771727
申请日：2007-06-29
申请人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
发明人： Tracey Colpitts , Eric L. Russell , Stephen Frost , Javier Ramirez , Bhawani Singh , John C. Russell
IPC分类号： G01N33/574 , C07K14/00
CPC分类号： G01N33/57423 , C07K14/4738 , G01N2333/47 , G01N2333/4703 , G01N2333/4725 , G01N2333/4739 , G01N2333/4742 , G01N2333/4748 , G01N2333/705 , G01N2333/70596 , G01N2333/775 , G01N2333/8125 , G01N2333/91205
摘要： The present invention relates to rapid, sensitive methods for determining whether a subject is at risk of developing lung cancer or has lung cancer based on certain combinations or biomarkers or biomarkers and biometric parameters.
摘要翻译：本发明涉及用于确定受试者是否处于基于某些组合或生物标志物或生物标志物和生物测定参数发展为肺癌或具有肺癌的风险的快速，敏感的方法。

4. 发明授权

US5541417A Quantative agglutination reaction analysis method 失效
标题翻译：定量凝集反应分析方法
公开(公告)号：US5541417A
公开(公告)日：1996-07-30
申请号：US443920
申请日：1995-05-18
申请人： Yongli H. Xiong , Eric L. Russell
发明人： Yongli H. Xiong , Eric L. Russell
IPC分类号： G01N21/82 , G01N33/80
CPC分类号： G01N21/82
摘要： Embodiments described herein provide methods of analysis of a reaction, such as an agglutination reaction producing an agglutination pattern, and the like. In one method, an image of the agglutination pattern is captured. The image captured is digitized to form a digital image comprising a pixel. Roughness is measured, reflecting pixel local environment, at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the measured roughness. In another embodiment, roughness is derived using a shared weights neural network approach, the roughness reflecting pixel local environment at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the derived roughness. In a further embodiment, a feature is derived using a shared weights neural network approach, the feature reflecting pixel local environment at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the derived feature.
摘要翻译：本文所述的实施方案提供了分析反应的方法，例如产生凝集图案的凝集反应等。在一种方法中，捕获凝集图案的图像。所拍摄的图像被数字化以形成包括像素的数字图像。在包含凝集图案的数字图像的感兴趣区域的每个像素处，测量粗糙度，反映像素局部环境。基于所测量的粗糙度，进行对凝集图案的捕捉图像的分类和定量中的至少一个。在另一个实施例中，使用共享权重神经网络方法导出粗糙度，每个像素处的粗糙度反射像素局部环境包括凝集图案的数字图像的感兴趣区域。基于导出的粗糙度进行对凝集图案的捕捉图像的分类和定量中的至少一个。在另一实施例中，使用共享权重神经网络方法导出特征，所述特征反映每个像素处的像素局部环境，所述像素包括所述凝集图案的数字图像的感兴趣区域。基于导出的特征进行对凝集图案的捕捉图像的分类和定量中的至少一个。

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