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    Generalized neighborhoods parameter transform for image features extraction
    2.
    发明授权
    Generalized neighborhoods parameter transform for image features extraction 失效
    广义邻域参数变换用于图像特征提取

    公开(公告)号：US5073962A

    公开(公告)日：1991-12-17

    申请号：US395888

    申请日：1989-08-18

    申请人： Andrea Califano

    发明人： Andrea Califano

    IPC分类号： G06K9/46

    CPC分类号： G06K9/4633

    摘要： Geometric features in image data are extracted by correlation of local information contained in multiple neighborhoods or windows comprising the image. Features of interest are extracted from data contained in the neighborhoods. Nodes are created for each feature. Support values are assigned to each node as well as a list of neighborhoods containing the feature parameters. Inhibitory links are built between the nodes based upon the list of neighborhoods and the geometric properties of the feature. Competitive integration is performed until the surviving nodes are no longer connected by inhibitory links. The result is a complete segmentation of the image in terms of the features.

    摘要翻译： 通过包含在包括图像的多个邻域或窗口中的本地信息的相关来提取图像数据中的几何特征。 从社区中包含的数据中提取感兴趣的特征。 为每个功能创建节点。 支持值分配给每个节点以及包含特征参数的邻域列表。 基于邻域列表和特征的几何属性，在节点之间建立抑制链接。 执行竞争整合，直到幸存的节点不再通过抑制链接连接。 结果是在特征方面对图像进行完全分割。

    SYSTEMS AND METHODS FOR IDENTIFYING COMBINATIONS OF COMPOUNDS OF THERAPEUTIC INTEREST
    5.
    发明申请
    SYSTEMS AND METHODS FOR IDENTIFYING COMBINATIONS OF COMPOUNDS OF THERAPEUTIC INTEREST 审中-公开
    用于识别治疗化合物组合的系统和方法

    公开(公告)号：US20090269772A1

    公开(公告)日：2009-10-29

    申请号：US12432579

    申请日：2009-04-29

    申请人： Andrea Califano ,  Riccardo Dalla-Favera ,  Owen A. O'Connor

    发明人： Andrea Califano ,  Riccardo Dalla-Favera ,  Owen A. O'Connor

    IPC分类号： C12Q1/68 ,  C12Q1/02 ,  G06N5/02

    CPC分类号： G01N33/5008 ,  G16B5/00 ,  G16B20/00 ,  G16C20/50

    摘要： Systems, methods, and apparatus for searching for a combination of compounds of therapeutic interest are provided. Cell-based assays are performed, each cell-based assay exposing a different sample of cells to a different compound in a plurality of compounds. From the cell-based assays, a subset of the tested compounds is selected. For each respective compound in the subset, a molecular abundance profile from cells exposed to the respective compound is measured. Targets of transcription factors and post-translational modulators of transcription factor activity are inferred from the molecular abundance profile data using information theoretic measures. This data is used to construct an interaction network. Variances in edges in the interaction network are used to determine the drug activity profile of compounds in the subset of compounds. The drug activity profiles are used to form a filter set of compound combinations from the subset of compounds.

    摘要翻译： 提供了用于搜索治疗感兴趣的化合物的组合的系统，方法和装置。 进行基于细胞的测定，每个基于细胞的测定将不同样品的细胞暴露于多种化合物中的不同化合物。 从基于细胞的测定中，选择测试化合物的一个子集。 对于子集中的每个相应化合物，测量暴露于相应化合物的细胞的分子丰度分布。 转录因子和翻译后调控因子转录因子活性的目标是使用信息理论测量从分子丰度分布数据中推导出来的。 该数据用于构建交互网络。 使用相互作用网络边缘的差异来确定化合物子集中化合物的药物活性谱。 药物活性谱用于形成化合物子集合的化合物组合的过滤器组。

    Generalized shape autocorrelation for shape acquisition and recognition
    6.
    发明授权
    Generalized shape autocorrelation for shape acquisition and recognition 失效
    用于形状获取和识别的广义形状自相关

    公开(公告)号：US5351310A

    公开(公告)日：1994-09-27

    申请号：US162966

    申请日：1993-12-08

    申请人： Andrea Califano ,  Rakesh Mohan

    发明人： Andrea Califano ,  Rakesh Mohan

    IPC分类号： G01B11/24 ,  G06F17/30 ,  G06K9/48 ,  G06K9/52 ,  G06T1/00 ,  G06T7/00 ,  H01B1/12

    CPC分类号： G06K9/52 ,  G06K9/48 ,  H01B1/121

    摘要： The invention provides automatic acquisition and recognition of complex visual shapes within images. During an acquisition phase, models are derived from interest points acquired from a target shape. The models are stored in and can be retrieved from a lookup table via high dimension indices. When an image is inputted, triplets of interest points in the image are used to compute local shape descriptors, which describe the geometry of local shapes in the image. In turn, triplets of local shape descriptors are used to compute high dimension indices. These indices are used for accessing the lookup table having the models. The models are used for the automatic recognition of target shapes.

    摘要翻译： 本发明提供自动获取和识别图像内的复杂视觉形状。 在收购阶段，模型是从目标形状获取的兴趣点得出的。 这些模型通过高维度索引存储在查找表中并可以从查找表中检索。 当输入图像时，图像中的感兴趣点的三元组用于计算局部形状描述符，其描述图像中局部形状的几何形状。 反过来，局部形状描述符的三元组用于计算高维度索引。 这些索引用于访问具有模型的查找表。 这些模型用于自动识别目标形状。

    Methods and systems for managing informed consent processes
    7.
    发明授权
    Methods and systems for managing informed consent processes 有权
    管理知情同意程序的方法和系统

    公开(公告)号：US08775211B2

    公开(公告)日：2014-07-08

    申请号：US12851258

    申请日：2010-08-05

    申请人： Andrea Califano ,  Aristidis Floratos ,  David Wang ,  Peter Young ,  Arthur Holden

    发明人： Andrea Califano ,  Aristidis Floratos ,  David Wang ,  Peter Young ,  Arthur Holden

    IPC分类号： G06F19/00 ,  G06Q50/24

    CPC分类号： G06Q50/24 ,  G06F19/00 ,  G06F19/28 ,  G06Q50/22 ,  G16H10/20 ,  G16H10/40 ,  G16H10/60 ,  G16H40/20

    摘要： The systems and methods provide a dynamic process for obtaining and managing informed consent documentation. In general, the dynamic informed consent process (DICP) makes use of an intermediary organization, e.g., a trusted intermediary, which: (a) provides ICFs which have been dynamically generated for a specified trial or medical procedure and based on particular state or federal requirements, if any; and (b) archives copies of signed ICFs. In certain preferred embodiments, there may also be a procedure to provide training materials, such as audio or video presentations, to be viewed by prospective participants. In certain preferred embodiments, the process also includes contacting subjects who have signed ICFs in the event that there is a change of circumstance which the subject may deem material to whether s/he would continue to consent, or whether the participant needs to provide a different type of consent to participate in particular event or trial.

    摘要翻译： 系统和方法为获取和管理知情同意文件提供了一个动态过程。 一般来说，动态知情同意程序（DICP）利用中间组织，例如可信赖的中介机构，其中：（a）提供为指定的试验或医疗程序动态生成的ICF，并基于特定的州或联邦 要求，如果有的话; 和（b）签名的ICF的档案副本。 在某些优选实施例中，还可以存在提供将由潜在参与者观看的训练材料（例如音频或视频呈现）的过程。 在某些优选实施例中，该过程还包括在主体可能认为材料是否被继续同意的情况发生变化的情况下联系已经签署了ICF的受试者，或者参与者是否需要提供不同的 同意参加特定事件或审判的类型。

    Methods and systems for managing informed consent processes
    9.
    发明授权
    Methods and systems for managing informed consent processes 有权
    管理知情同意程序的方法和系统

    公开(公告)号：US07801747B2

    公开(公告)日：2010-09-21

    申请号：US11438677

    申请日：2006-05-22

    申请人： Andrea Califano ,  Aristidis Floratos ,  David Wang ,  Peter Young ,  Arthur Holden

    发明人： Andrea Califano ,  Aristidis Floratos ,  David Wang ,  Peter Young ,  Arthur Holden

    IPC分类号： G06F19/00

    CPC分类号： G06Q50/24 ,  G06F19/00 ,  G06F19/28 ,  G06Q50/22 ,  G16H10/20 ,  G16H10/40 ,  G16H10/60 ,  G16H40/20

    摘要： The systems and methods provide a dynamic process for obtaining and managing informed consent documentation. In general, the dynamic informed consent process (DICP) makes use of an intermediary organization, e.g., a trusted intermediary, which: (a) provides ICFs which have been dynamically generated for a specified trial or medical procedure and based on particular state or federal requirements, if any; and (b) archives copies of signed ICFs. In certain preferred embodiments, there may also be a procedure to provide training materials, such as audio or video presentations, to be viewed by prospective participants. In certain preferred embodiments, the process also includes contacting subjects who have signed ICFs in the event that there is a change of circumstance which the subject may deem material to whether s/he would continue to consent, or whether the participant needs to provide a different type of consent to participate in particular event or trial.

    摘要翻译： 系统和方法为获取和管理知情同意文件提供了一个动态过程。 一般来说，动态知情同意程序（DICP）利用中间组织，例如可信赖的中介机构，其中：（a）提供为指定的试验或医疗程序动态生成的ICF，并基于特定的州或联邦 要求，如果有的话; 和（b）签署的ICF的档案副本。 在某些优选实施例中，还可以存在提供将由潜在参与者观看的训练材料（例如音频或视频呈现）的过程。 在某些优选实施例中，该过程还包括在主体可能认为材料是否被继续同意的情况发生变化的情况下联系已经签署了ICF的受试者，或者参与者是否需要提供不同的 同意参加特定事件或审判的类型。

    Generalized shape autocorrelation for shape acquistion and recognition
    10.
    再颁专利
    Generalized shape autocorrelation for shape acquistion and recognition 失效
    用于形状获取和识别的广义形状自相关

    公开(公告)号：USRE36656E

    公开(公告)日：2000-04-11

    申请号：US719496

    申请日：1996-09-25

    申请人： Andrea Califano ,  Rakesh Mohan

    发明人： Andrea Califano ,  Rakesh Mohan

    IPC分类号： G06K9/48 ,  G06K9/52 ,  G06K9/36 ,  G06K9/46

    CPC分类号： G06K9/52 ,  G06K9/48

    摘要： The invention provides automatic acquisition and recognition of complex visual shapes within images. During an acquisition phase, models are derived from interest points acquired from a target shape. The models are stored in and can be retrieved from a lookup table via high dimension indices. When an image is inputted, triplets of interest points in the image are used to compute local shape descriptors, which descrb the geometry of local shapes in the image. In turn, triplets of local shape descriptors are used to compute high dimension indices. These indices arm used for accessing the lookup table having the models The models are used for the automatic recognition of target shapes.

    摘要翻译： 本发明提供自动获取和识别图像内的复杂视觉形状。 在收购阶段，模型是从目标形状获取的兴趣点得出的。 这些模型通过高维度索引存储在查找表中并可以从查找表中检索。 当输入图像时，图像中的感兴趣点的三元组用于计算局部形状描述符，其描绘图像中局部形状的几何形状。 反过来，局部形状描述符的三元组用于计算高维度索引。 用于访问具有模型的查找表的这些索引臂该模型用于自动识别目标形状。