Methods of diagnosing inflammatory bowel disease
    1.
    发明授权
    Methods of diagnosing inflammatory bowel disease 有权
    炎症性肠病诊断方法

    公开(公告)号:US07873479B2

    公开(公告)日:2011-01-18

    申请号:US11565544

    申请日:2006-11-30

    IPC分类号: G06F7/00

    摘要: The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

    摘要翻译: 本发明提供了用于准确地分类来自个体的样品是否与炎症性肠病(IBD)或其临床亚型相关联的方法,系统和代码。 特别地,本发明可用于使用统计学算法和/或经验数据将来自个人的样本作为IBD样本进行分类。 本发明还可用于使用统计学算法和/或经验数据来区分诸如克罗恩病(CD)和溃疡性结肠炎(UC)的IBD的临床亚型。 因此,本发明提供IBD或其临床亚型的准确诊断预测和用于指导治疗决定的预后信息。

    Methods of diagnosing inflammatory bowel disease
    2.
    发明申请
    Methods of diagnosing inflammatory bowel disease 审中-公开
    炎症性肠病诊断方法

    公开(公告)号:US20060154276A1

    公开(公告)日:2006-07-13

    申请号:US11293616

    申请日:2005-12-01

    IPC分类号: C12Q1/68 G01N33/569 G01N33/53

    摘要: The present invention provides methods for diagnosing inflammatory bowel disease (IBD) or for differentiating between Crohn's disease (CD), ulcerative colitis (UC), and indeterminate colitis (IC) in an individual by using a combination of learning statistical classifiers based upon the presence or level of one or more IBD markers in a sample from the individual. The present invention also provides methods for diagnosing the presence or severity of IBD and for stratifying IBD in an individual by determining the level of one or more IBD markers in a sample from the individual and calculating an index value using an algorithm based upon the level of the IBD markers. Methods for monitoring the efficacy of IBD therapy, monitoring the progression or regression of IBD, and optimizing therapy in an individual having IBD are also provided.

    摘要翻译: 本发明提供了通过使用基于存在的学习统计分类器的组合来诊断炎症性肠病(IBD)或用于区分个体中的克罗恩病(CD),溃疡性结肠炎(UC)和不确定性结肠炎(IC) 或来自个体的样品中的一种或多种IBD标记物的水平。 本发明还提供了用于诊断IBD的存在或严重性以及通过确定来自个体的样本中的一种或多种IBD标记的水平来计算个体中IBD的分级的方法,并且使用基于 IBD标记。 还提供了用于监测IBD治疗的功效,监测IBD的进展或消退以及优化IBD个体治疗的方法。

    METHODS OF DIAGNOSING INFLAMMATORY BOWEL DISEASE
    3.
    发明申请
    METHODS OF DIAGNOSING INFLAMMATORY BOWEL DISEASE 有权
    诊断炎症性皮肤病的方法

    公开(公告)号:US20110218956A1

    公开(公告)日:2011-09-08

    申请号:US12965512

    申请日:2010-12-10

    摘要: The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

    摘要翻译: 本发明提供了用于准确地分类来自个体的样品是否与炎症性肠病(IBD)或其临床亚型相关联的方法,系统和代码。 特别地,本发明可用于使用统计学算法和/或经验数据将来自个人的样本作为IBD样本进行分类。 本发明还可用于使用统计学算法和/或经验数据来区分诸如克罗恩病(CD)和溃疡性结肠炎(UC)的IBD的临床亚型。 因此,本发明提供IBD或其临床亚型的准确诊断预测和用于指导治疗决定的预后信息。

    Method and system for assisting in diagnosing irritable bowel syndrome
    4.
    发明授权
    Method and system for assisting in diagnosing irritable bowel syndrome 有权
    协助肠易激综合征诊断的方法和系统

    公开(公告)号:US07943328B1

    公开(公告)日:2011-05-17

    申请号:US11679149

    申请日:2007-02-26

    IPC分类号: G01N33/53 G01N31/00

    摘要: The present invention provides methods, systems, and code for accurately classifying or diagnosing a sample from an individual as an IBS sample. The methods and systems of the present invention are useful for ruling out one or more diseases or disorders that share a similar clinical presentation as IBS followed by identifying (i.e., ruling in) IBS using statistical algorithm(s) and/or empirical data. In particular, the methods and systems of the present invention use a first combination of learning statistical classifier systems to rule out IBD with an accuracy of greater than about 90% and a second combination of learning statistical classifier systems to rule in IBS in a non-IBD sample with an accuracy of greater than about 80%.

    摘要翻译: 本发明提供了用于将来自个体的样品精确地分类或诊断为IBS样品的方法,系统和代码。 本发明的方法和系统可用于排除与IBS共享相似临床表现的一种或多种疾病或病症,随后使用统计学算法和/或经验数据识别(即,在IBS中进行统计)IBS。 特别地,本发明的方法和系统使用学习统计分类器系统的第一组合来排除大于约90%的准确度的IBD,并且使用学习统计分类器系统的第二组合来在IBS中进行统计, IBD样品的精度大于约80%。

    Methods of diagnosing inflammatory bowel disease
    5.
    发明授权
    Methods of diagnosing inflammatory bowel disease 有权
    炎症性肠病诊断方法

    公开(公告)号:US08315818B2

    公开(公告)日:2012-11-20

    申请号:US12965512

    申请日:2010-12-10

    IPC分类号: G06F7/00

    摘要: The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

    摘要翻译: 本发明提供了用于准确地分类来自个体的样品是否与炎症性肠病(IBD)或其临床亚型相关联的方法,系统和代码。 特别地,本发明可用于使用统计学算法和/或经验数据将来自个人的样本作为IBD样本进行分类。 本发明还可用于使用统计学算法和/或经验数据来区分诸如克罗恩病(CD)和溃疡性结肠炎(UC)的IBD的临床亚型。 因此,本发明提供IBD或其临床亚型的准确诊断预测和用于指导治疗决定的预后信息。

    METHODS OF DIAGNOSING INFLAMMATORY BOWEL DISEASE
    7.
    发明申请
    METHODS OF DIAGNOSING INFLAMMATORY BOWEL DISEASE 有权
    诊断炎症性皮肤病的方法

    公开(公告)号:US20080131439A1

    公开(公告)日:2008-06-05

    申请号:US11565544

    申请日:2006-11-30

    摘要: The present invention provides methods, systems, and code for accurately classifying whether a sample from an individual is associated with inflammatory bowel disease (IBD) or a clinical subtype thereof. In particular, the present invention is useful for classifying a sample from an individual as an IBD sample using a statistical algorithm and/or empirical data. The present invention is also useful for differentiating between a clinical subtype of IBD such as Crohn's disease (CD) and ulcerative colitis (UC) using a statistical algorithm and/or empirical data. Thus, the present invention provides an accurate diagnostic prediction of IBD or a clinical subtype thereof and prognostic information useful for guiding treatment decisions.

    摘要翻译: 本发明提供了用于准确地分类来自个体的样品是否与炎症性肠病(IBD)或其临床亚型相关联的方法,系统和代码。 特别地,本发明可用于使用统计学算法和/或经验数据将来自个人的样本作为IBD样本进行分类。 本发明还可用于使用统计学算法和/或经验数据来区分诸如克罗恩病(CD)和溃疡性结肠炎(UC)的IBD的临床亚型。 因此,本发明提供IBD或其临床亚型的准确诊断预测和用于指导治疗决定的预后信息。

    METHODS OF PREDICTING AND MONITORING TYROSINE KINASE INHIBITOR THERAPY
    9.
    发明申请
    METHODS OF PREDICTING AND MONITORING TYROSINE KINASE INHIBITOR THERAPY 有权
    预测和监测酪氨酸激酶抑制剂治疗方法

    公开(公告)号:US20070254295A1

    公开(公告)日:2007-11-01

    申请号:US11687254

    申请日:2007-03-16

    IPC分类号: G01N33/53 A61P35/00 C12Q1/68

    摘要: The present invention provides methods for analyzing a combination of biomarkers to individualize tyrosine kinase inhibitor therapy in patients who have been diagnosed with cancer. In particular, the assay methods of the present invention are useful for predicting, identifying, or monitoring the response of a tumor, tumor cell, or patient to treatment with a tyrosine kinase inhibitor using an algorithm based upon biomarker profiling. The assay methods of the present invention are also useful for predicting whether a patient has a risk of developing toxicity or resistance to treatment with a tyrosine kinase inhibitor. In addition, the assay methods of the present invention are useful for monitoring tyrosine kinase inhibitor therapy in a patient receiving the drug to evaluate whether the patient will develop resistance to the drug. Furthermore, the assay methods of the present invention are useful for optimizing the dose of a tyrosine kinase inhibitor in a patient receiving the drug to achieve therapeutic efficacy and/or reduce toxic side-effects.

    摘要翻译: 本发明提供了用于分析已经被诊断患有癌症的患者中的酪氨酸激酶抑制剂治疗的生物标志物的组合的方法。 特别地,本发明的测定方法可用于使用基于生物标志物分析的算法预测,鉴定或监测肿瘤,肿瘤细胞或患者用酪氨酸激酶抑制剂治疗的应答​​。 本发明的测定方法也可用于预测患者是否具有产生毒性或抗酪氨酸激酶抑制剂治疗的风险。 此外,本发明的测定方法可用于监测接受药物的患者中的酪氨酸激酶抑制剂治疗,以评估患者是否会产生对药物的抗药性。 此外,本发明的测定方法可用于优化接受该药物的患者中的酪氨酸激酶抑制剂的剂量以达到治疗功效和/或减少毒副作用。