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1. 发明申请

US20080273199A1 Spectroscopic system and method for predicting outcome of disease 有权
标题翻译：光谱系统和预测疾病结局的方法
公开(公告)号：US20080273199A1
公开(公告)日：2008-11-06
申请号：US12070010
申请日：2008-02-14
申请人： John Maier , Jeffrey Cohen , Janice L. Panza , Amy J. Drauch
发明人： John Maier , Jeffrey Cohen , Janice L. Panza , Amy J. Drauch
IPC分类号： G01J3/44
CPC分类号： G01N21/65 , G01J3/02 , G01J3/0291 , G01J3/0294 , G01J3/2823 , G01J3/44 , G01J2003/2826 , G01N2021/656 , G01N2201/1293 , G01N2201/1296
摘要： A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.
摘要翻译：一种预测测试样本疾病进展的系统和方法。提供了一组已知的生物样品。每个已知的生物样品具有相关的已知结果，包括非患病样品或患病样品。获得每个已知生物样品的拉曼数据集。分析每个拉曼数据集，以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。生成第一个数据库，其中第一个数据库包含所有患病样本的参考拉曼数据集。生成第二数据库，其中第二数据库包含所有非患病样本的参考拉曼数据集。接受测试生物样品的测试拉曼数据集，其中测试生物样品具有未知的疾病状态。提供了关于测试样品是否是非患病样品或患病样品的诊断。通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。可以提供疾病进展的预测。

2. 发明授权

US07808633B2 Spectroscopic system and method for predicting outcome of disease 有权
标题翻译：光谱系统和预测疾病结局的方法
公开(公告)号：US07808633B2
公开(公告)日：2010-10-05
申请号：US12070010
申请日：2008-02-14
申请人： John Maier , Jeffrey Cohen , Janice L. Panza , Amy J. Drauch
发明人： John Maier , Jeffrey Cohen , Janice L. Panza , Amy J. Drauch
IPC分类号： G01J3/44 , G01N21/65
CPC分类号： G01N21/65 , G01J3/02 , G01J3/0291 , G01J3/0294 , G01J3/2823 , G01J3/44 , G01J2003/2826 , G01N2021/656 , G01N2201/1293 , G01N2201/1296
摘要： A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.
摘要翻译：一种预测测试样本疾病进展的系统和方法。提供了一组已知的生物样品。每个已知的生物样品具有相关的已知结果，包括非患病样品或患病样品。获得每个已知生物样品的拉曼数据集。分析每个拉曼数据集，以根据相应的生物样品是非患病样品还是患病样品来鉴定患病或非患病参考拉曼数据集。生成第一个数据库，其中第一个数据库包含所有患病样本的参考拉曼数据集。生成第二数据库，其中第二数据库包含所有非患病样本的参考拉曼数据集。接受测试生物样品的测试拉曼数据集，其中测试生物样品具有未知的疾病状态。提供了关于测试样品是否是非患病样品或患病样品的诊断。通过使用化学计量技术将测试拉曼数据集与第一和第二数据库中的参考拉曼数据集进行比较来获得诊断。可以提供疾病进展的预测。

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