METHOD FOR ESTIMATION OF INFORMATION FLOW IN BIOLOGICAL NETWORKS
    5.
    发明申请
    METHOD FOR ESTIMATION OF INFORMATION FLOW IN BIOLOGICAL NETWORKS 审中-公开
    生物网络信息流估计方法

    公开(公告)号:WO2012104764A2

    公开(公告)日:2012-08-09

    申请号:PCT/IB2012050405

    申请日:2012-01-30

    CPC classification number: G06F19/324 G06F19/12 G06F19/20 G06F19/24

    Abstract: The present invention relates to a method for stratifying a patient into a clinically relevant group comprising the identification of the probability of an alteration within one or more sets of molecular data from a patient sample in comparison to a database of molecular data of known phenotypes, the inference of the activity of a biological network on the basis of the probabilities, the identification of a network information flow probability for the patient via the probability of interactions in the network, the creation of multiple instances of network information flow for the patient sample and the calculation of the distance of the patient from other subjects in a patient database using multiple instances of the network information flow. The invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy wherein the biomedical marker or group of biomedical markers comprises altered biological pathway markers, as well as to an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer. Furthermore, a corresponding clinical decision support system is provided.

    Abstract translation: 本发明涉及一种用于将患者分层为临床相关组的方法,其包括鉴定来自患者样品的一组或多组分子数据内的改变概率与已知表型的分子数据的数据库相比较, 基于概率推断生物网络的活动,通过网络中的交互概率识别患者的网络信息流概率,创建患者样本的多个网络信息流实例和 使用网络信息流的多个实例来计算患者与患者数据库中的其他受试者的距离。 本发明进一步涉及生物医学标记物或生物医学标记物组,其与受试者对癌症治疗的响应性的高可能性相关联,其中生物医学标记物或生物医学标记物组包括改变的生物学途径标记物,以及用于检测 ,诊断,毕业,监测或预测医学状况,或用于检测,诊断,监测或预测受试者对于针对所述医学病症,特别是卵巢癌的治疗的反应性。 此外,提供了相应的临床决策支持系统。

    INTEGRATED ACCESS TO AND INTERATION WITH MULTIPLICITY OF CLINICA DATA ANALYTIC MODULES
    6.
    发明申请
    INTEGRATED ACCESS TO AND INTERATION WITH MULTIPLICITY OF CLINICA DATA ANALYTIC MODULES 审中-公开
    综合访问和与临床数据分析模块的多重性相关联

    公开(公告)号:WO2012093363A2

    公开(公告)日:2012-07-12

    申请号:PCT/IB2012/050041

    申请日:2012-01-04

    CPC classification number: G06F19/3443 G06F19/00 G06F19/325 G16H40/63 G16H50/70

    Abstract: A state machine (22) stores a current state (30) comprising a clinical context defined by available patient-related information relating to a medical patient, and identifies one or more available analytical tools of a set of analytical tools (24) that are applicable to the current state. A graphical user interface module (16) receives a user selection of an available analytical tool. The state machine loads patient-related information (40) to the user-selected available analytical tool (24 sel ) and invokes the user-selected available analytical tool to operate on the loaded patient-related information to generate additional patient-related information relating to the medical patient and/or graphical patient-related content relating to the medical patient. The state machine transitions from the current state (30) to a next state (30') and/or invokes the graphical user interface module to display the graphical patient related content.

    Abstract translation: 状态机(22)存储当前状态(30),其包括由与医疗患者有关的可用患者相关信息定义的临床上下文,并且识别可应用的一组分析工具(24)中的一个或多个可用分析工具 到目前状态。 图形用户界面模块(16)接收可用分析工具的用户选择。 状态机将患者相关信息(40)加载到用户选择的可用分析工具(24sel),并且调用用户选择的可用分析工具对所加载的患者相关信息进行操作,以生成与患者相关的附加信息 与患者有关的医疗病人和/或图形患者相关内容。 状态机从当前状态(30)转换到下一状态(30')和/或调用图形用户界面模块以显示图形的患者相关内容。

    IDENTIFICATION OF MULTI-MODAL ASSOCIATIONS BETWEEN BIOMEDICAL MARKERS
    7.
    发明申请
    IDENTIFICATION OF MULTI-MODAL ASSOCIATIONS BETWEEN BIOMEDICAL MARKERS 审中-公开
    生物医学标记之间的多模式关联的鉴定

    公开(公告)号:WO2012046191A3

    公开(公告)日:2012-06-07

    申请号:PCT/IB2011054366

    申请日:2011-10-04

    CPC classification number: G06F19/20 G06F19/12 G06F19/18

    Abstract: The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said biomedical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10,FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.

    Abstract translation: 本发明涉及一种用于识别生物医学标记之间的多模式关联的方法,其允许确定网络节点和/或高排名网络成员或其组合,指示具有医疗状况的诊断,预后或预测值, 特别是卵巢癌。 本发明进一步涉及与受试者对癌症疗法的响应性的高度可能性相关联的生物医学标记物或生物医学标记物组,其中所述生物医学标记物或生物医学标记物组包括至少1种, 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,8,19,20或所有选自PKMYT1,SKIL,RAB8A,HIRIP3, CTNNB1,NGFR,ZCCHC11,LSP1,CD200,PAX8,CYBRD1,HOXC11,TCEAL1,FZD10,FZD1,BBS4,IRS2,TLX3,TSPAN2,TXN和CFLAR。 此外,提供了用于检测,诊断,分级,监测或预测医疗状况或用于检测,诊断,监测或预测受试者针对所述医疗状况,特别是卵巢癌的疗法的响应性的测定,作为 以及用于分类包括医疗决策支持系统的对象的相应方法。

    INTEGRATED ACCESS TO AND INTERATION WITH MULTIPLICITY OF CLINICA DATA ANALYTIC MODULES
    10.
    发明申请
    INTEGRATED ACCESS TO AND INTERATION WITH MULTIPLICITY OF CLINICA DATA ANALYTIC MODULES 审中-公开
    综合访问和与临床数据分析模块的多重性相关联

    公开(公告)号:WO2012093363A3

    公开(公告)日:2013-04-18

    申请号:PCT/IB2012050041

    申请日:2012-01-04

    CPC classification number: G06F19/3443 G06F19/325 G16H40/63 G16H50/70

    Abstract: A state machine (22) stores a current state (30) comprising a clinical context defined by available patient-related information relating to a medical patient, and identifies one or more available analytical tools of a set of analytical tools (24) that are applicable to the current state. A graphical user interface module (16) receives a user selection of an available analytical tool. The state machine loads patient-related information (40) to the user-selected available analytical tool (24sel) and invokes the user-selected available analytical tool to operate on the loaded patient-related information to generate additional patient-related information relating to the medical patient and/or graphical patient-related content relating to the medical patient. The state machine transitions from the current state (30) to a next state (30') and/or invokes the graphical user interface module to display the graphical patient related content.

    Abstract translation: 状态机(22)存储当前状态(30),其包括由与医疗患者有关的可用患者相关信息定义的临床上下文,并且识别可应用的一组分析工具(24)中的一个或多个可用分析工具 到目前状态。 图形用户界面模块(16)接收可用分析工具的用户选择。 状态机将患者相关信息(40)加载到用户选择的可用分析工具(24sel),并且调用用户选择的可用分析工具对所加载的患者相关信息进行操作,以生成与患者相关的附加信息 与患者有关的医疗病人和/或图形患者相关内容。 状态机从当前状态(30)转换到下一状态(30')和/或调用图形用户界面模块以显示图形的患者相关内容。

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