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    IDENTIFICATION OF MULTI-MODAL ASSOCIATIONS BETWEEN BIOMEDICAL MARKERS
    4.
    发明申请
    IDENTIFICATION OF MULTI-MODAL ASSOCIATIONS BETWEEN BIOMEDICAL MARKERS 审中-公开
    鉴定生物医学标记之间的多模式协会

    公开(公告)号：US20130196877A1

    公开(公告)日：2013-08-01

    申请号：US13877346

    申请日：2011-10-04

    申请人： Nilanjana Banerjee ,  Angel Janevski ,  Sitharthan Kamalakaran ,  Vinay Varadan ,  Nevenka Dimitrova ,  Robert Lucito

    发明人： Nilanjana Banerjee ,  Angel Janevski ,  Sitharthan Kamalakaran ,  Vinay Varadan ,  Nevenka Dimitrova ,  Robert Lucito

    IPC分类号： G06F19/20

    CPC分类号： G16B25/00 ,  G16B5/00 ,  G16B20/00

    摘要： 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 bio-medical 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.

    摘要翻译： 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，指示具有用于医疗状况的诊断，预后或预测值， 特别是卵巢癌。 本发明还涉及与受试者对癌症治疗（优选基于铂的癌症治疗）的高反应性的高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至少包括 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,8,19,20或选自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，毕业，监测或预测医学状况或用于检测1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的测定法，作为 以及用于分类受试者的相应方法以及医疗决策支持系统。

    Precipitation/dissolution of stored programs and segments
    5.
    发明授权
    Precipitation/dissolution of stored programs and segments 有权
    存储的程序和段的沉淀/解散

    公开(公告)号：US07457811B2

    公开(公告)日：2008-11-25

    申请号：US10178015

    申请日：2002-06-21

    申请人： Angel Janevski ,  Nevenka Dimitrova ,  Lalitha Agnihotri

    发明人： Angel Janevski ,  Nevenka Dimitrova ,  Lalitha Agnihotri

    IPC分类号： G06F17/00

    CPC分类号： G06F17/30828 ,  G06F17/30867 ,  H04N21/44218 ,  H04N21/44222 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99944 ,  Y10S707/99945

    摘要： A content maintenance system uses a time-dependent precipitation function for iteratively augmenting or removing content over time, after an initial demonstration of user interest. A plurality of parallel precipitation processes can be launched simultaneously in response to different facets of a user expression of interest. Precipitation is dependent on highlighting or extracting segment descriptors from content of interest to the user. Then segments are filtered, rated, annotated and/or prioritized from that content. The remaining segments are matched against stored search structures. When the segments match, they are precipitated out for storage and can generate new search structures.

    摘要翻译： 在用户感兴趣的初步演示之后，内容维护系统使用时间依赖的降水函数来迭代地增加或移除内容。 响应于感兴趣的用户表达的不同方面，可以同时启动多个并行降水过程。 降水取决于从用户感兴趣的内容中突出显示或提取片段描述符。 然后，细分受到过滤，评分，注释和/或从内容中排列。 剩余的段与存储的搜索结构匹配。 当段匹配时，它们被沉淀出来用于存储，并且可以生成新的搜索结构。

    METHOD FOR ESTIMATION OF INFORMATION FLOW IN BIOLOGICAL NETWORKS
    6.
    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：US20140040264A1

    公开(公告)日：2014-02-06

    申请号：US13983651

    申请日：2012-01-30

    申请人： Vinay Varadan ,  Prateek Mittal ,  Sitharthan Kamalakaran ,  Nevenka Dimitrova ,  Angel Janevski ,  Nilanjana Banerjee

    发明人： Vinay Varadan ,  Prateek Mittal ,  Sitharthan Kamalakaran ,  Nevenka Dimitrova ,  Angel Janevski ,  Nilanjana Banerjee

    IPC分类号： G06F19/00

    CPC分类号： G06F19/324 ,  G16B5/00 ,  G16B25/00 ,  G16B40/00

    摘要： 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.

    摘要翻译： 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志物，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。

    System and method for automatically retrieving information for a portable information system
    7.
    发明申请
    System and method for automatically retrieving information for a portable information system 审中-公开
    自动检索便携式信息系统信息的系统和方法

    公开(公告)号：US20070124304A1

    公开(公告)日：2007-05-31

    申请号：US10573737

    申请日：2004-09-28

    申请人： Nevenka Dimitrova ,  Angel Janevski

    发明人： Nevenka Dimitrova ,  Angel Janevski

    IPC分类号： G06F17/30

    CPC分类号： G06F16/583 ,  G06F16/9537

    摘要： A system and method is provided for automatically retrieving information for a portable information system. The portable information system comprises an audio/video sensor that is capable of obtaining audio/video signals and a wireless communication device that is capable of communicating with a remotely located server to obtain information that is accessible by the server. The wireless communication device executes an automatic search procedure to cause the server to search for information that matches a search parameter that a user inputs to the portable information system. The server searches for the requested information in a plurality of databases that are located in a plurality of networks. An “image retrieval by example” search procedure and a “Web information extraction” search procedure are utilized.

    摘要翻译： 提供了一种用于自动检索便携式信息系统的信息的系统和方法。 便携式信息系统包括能够获得音频/视频信号的音频/视频传感器和能够与位于远程的服务器进行通信以获得服务器可访问的信息的无线通信设备。 无线通信设备执行自动搜索过程以使服务器搜索与用户向便携式信息系统输入的搜索参数相匹配的信息。 服务器在位于多个网络中的多个数据库中搜索所请求的信息。 利用“示例图像检索”搜索程序和“Web信息提取”搜索程序。

    Identification of multi-modal associations between biomedical markers
    8.
    发明授权
    Identification of multi-modal associations between biomedical markers 有权

    公开(公告)号：US10340027B2

    公开(公告)日：2019-07-02

    申请号：US13877346

    申请日：2011-10-04

    申请人： Nilanjana Banerjee ,  Angel Janevski ,  Sitharthan Kamalakaran ,  Vinay Varadan ,  Nevenka Dimitrova ,  Robert Lucito

    发明人： Nilanjana Banerjee ,  Angel Janevski ,  Sitharthan Kamalakaran ,  Vinay Varadan ,  Nevenka Dimitrova ,  Robert Lucito

    IPC分类号： G01N33/48 ,  G16B25/00 ,  G16B5/00 ,  G06G7/58 ,  G16B20/00

    摘要： 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.

    Smart picture-in-picture
    10.
    发明授权
    Smart picture-in-picture 失效
    智能画中画

    公开(公告)号：US06697124B2

    公开(公告)日：2004-02-24

    申请号：US09822456

    申请日：2001-03-30

    申请人： Nevenka Dimitrova ,  Angel Janevski

    发明人： Nevenka Dimitrova ,  Angel Janevski

    IPC分类号： H04N545

    CPC分类号： H04N5/45 ,  H04N21/4316 ,  H04N21/44008 ,  H04N21/4622

    摘要： In a television receiver having Picture-In-Picture (PIP), a controller analyzes the content of a video signal forming a main picture, and automatically adjusts the size and position of a PIP image to correspond to regions of the main picture exhibiting the least amount of motion, texture, and/or a repeating texture. The controller also prevents the PIP image from being positioned over text or faces or other important objects in the main picture.

    摘要翻译： 在具有画中画（PIP）的电视接收机中，控制器分析形成主图像的视频信号的内容，并且自动调整PIP图像的尺寸和位置以对应于显示最少的主图像的区域 运动量，纹理和/或重复纹理。 控制器还防止PIP图像被放置在主图像中的文本或面部或其他重要对象上。