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    Computer-implemented technique for defining a bone cut
    4.
    发明授权
    Computer-implemented technique for defining a bone cut 有权

    公开(公告)号：US09659152B2

    公开(公告)日：2017-05-23

    申请号：US14249695

    申请日：2014-04-10

    申请人： CADFEM GmbH

    发明人： Christoph Mueller

    IPC分类号： A61B19/00 ,  G06F19/00 ,  A61B34/20 ,  A61B34/10

    CPC分类号： G06F19/3437 ,  A61B34/10 ,  A61B34/20 ,  A61B2034/105 ,  A61B2034/107 ,  G06F19/00 ,  G16H50/50

    摘要： A technique for generating a data set that geometrically defines a bone cut configuration for transverse maxillary distraction is using a computer-implemented method. An aspect of the technique comprises creating a numeric model of a maxilla based on patient-specific data of the maxilla. The numeric model is representative of mechanical properties of the maxilla. Based on the numeric model thus generated, one or more cut configurations for one or more bone cuts on at least one of a left hand side and a right hand side of the maxilla are determined. Each cut configuration has been determined to compensate for asymmetric mechanical properties of the maxilla. In a further step, a data set indicative of the one or more cut configurations thus determined is generated. The data set may be used to create a surgical template or jig, for computer-assisted surgery or a surgical navigation system.

    Integrated health data capture and analysis system
    5.
    发明授权
    Integrated health data capture and analysis system 有权
    综合健康数据捕获与分析系统

    公开(公告)号：US09460263B2

    公开(公告)日：2016-10-04

    申请号：US14511753

    申请日：2014-10-10

    申请人： Theranos, Inc.

    发明人： Elizabeth A. Holmes ,  Ian Gibbons ,  Daniel L. Young ,  Seth G. Michelson

    IPC分类号： G06F19/00

    CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06F19/3443 ,  G06F19/345 ,  G06F19/3493 ,  G16H50/20 ,  G16H50/50 ,  G16H50/70 ,  G16H50/80 ,  Y02A90/22 ,  Y02A90/24 ,  Y02A90/26

    摘要： The present invention provides an integrated health care surveillance and monitoring system that provides real-time sampling, modeling, analysis, and recommended interventions. The system can be used to monitor infectious and chronic diseases. When faced with outbreak of an infectious disease agent, e.g., influenza virus, the system can identify active cases through pro-active sampling in high risk locations, such as schools or crowded commercial areas. The system can notify appropriate entities, e.g., local, regional and national governments, when an event is detected, thereby allowing for proactive management of a possible outbreak. The system also predicts the best response for deployment of scarce resources.

    摘要翻译： 本发明提供了综合的医疗保健监控和监测系统，其提供实时采样，建模，分析和推荐的干预措施。 该系统可用于监测感染性和慢性疾病。 当面对流行性感冒病毒等传染病发病时，系统可以通过在高风险地点（如学校或拥挤的商业区）进行主动抽样来识别活动病例。 当检测到事件时，系统可以通知适当的实体，例如地方，区域和国家政府，从而允许主动管理可能的爆发。 该系统还预测部署稀缺资源的最佳反应。

    System and method for generating enhanced density distribution in a three dimensional model of a structure for use in skeletal assessment using a limited number of two dimensional views
    7.
    发明授权
    System and method for generating enhanced density distribution in a three dimensional model of a structure for use in skeletal assessment using a limited number of two dimensional views 有权
    用于在使用有限数量的二维视图的骨骼评估中使用的结构的三维模型中生成增强密度分布的系统和方法

    公开(公告)号：US09384325B2

    公开(公告)日：2016-07-05

    申请号：US14246281

    申请日：2014-04-07

    申请人： Hologic, Inc.

    发明人： Krishna Ramamurthi ,  Kevin Wilson

    IPC分类号： A61B6/03 ,  G06F19/00 ,  A61B6/00 ,  G06T19/20 ,  G06T11/00

    CPC分类号： G06F19/3437 ,  A61B6/505 ,  A61B6/5247 ,  G06F19/00 ,  G06T11/006 ,  G06T19/20 ,  G06T2210/41 ,  G06T2211/436 ,  G16H50/50

    摘要： A method of generating a density enhanced model of an object is described. The method includes generating a customized a model of an object using a pre-defined set of models in combination with at least one projection image of the object, where the customized model is formed of a plurality of volume elements including density information. A density map is generated by relating a synthesized projection image of the customized model to an actual projection image of the object. Gains from the density map are back-projected into the customized model to provide a density enhanced customized model of the object. Because the density map is calculated using information from the synthesized projection image in combination with actual projection images of the structure, it has been shown to provide spatial geometry and volumetric density results comparable to those of QCT but with reduced patient exposure, equipment cost and examination time.

    摘要翻译： 描述了生成对象的密度增强模型的方法。 所述方法包括使用与所述对象的至少一个投影图像组合的预定义模型集来生成对象的定制模型，其中所述定制模型由包括密度信息的多个体积元素形成。 通过将定制模型的合成投影图像与对象的实际投影图像相关联来生成密度图。 来自密度图的收益被反投影到定制模型中，以提供对象的密度增强定制模型。 由于使用来自合成投影图像的信息与结构的实际投影图像相结合的密度图计算，所以已经显示提供与QCT相当的空间几何形状和体积密度结果，但是减少了患者暴露，设备成本和检查 时间。

    Systems and methods for using adverse event data to predict potential side effects
    8.
    发明授权
    Systems and methods for using adverse event data to predict potential side effects 有权
    使用不良事件数据预测潜在副作用的系统和方法

    公开(公告)号：US09235686B2

    公开(公告)日：2016-01-12

    申请号：US13446912

    申请日：2012-04-13

    申请人： David Jackson ,  Theodoros Soldatos ,  Guillaume Taglang ,  Alexander Zien ,  Stephan Brock

    发明人： David Jackson ,  Theodoros Soldatos ,  Guillaume Taglang ,  Alexander Zien ,  Stephan Brock

    IPC分类号： G01N33/48 ,  G06F19/00 ,  G06F19/18

    CPC分类号： G06F19/345 ,  G06F19/00 ,  G06F19/18 ,  G06F19/326 ,  G06F19/3437 ,  G16H50/20 ,  G16H50/50

    摘要： The present disclosure describes systems and methods for predicting a likely side effect profile for even new, untested medications. A predicted side effect profile may be generated based on intersections of side effect profiles of other medications that affect the same or related molecular entities, such as the nearby target proteins, involve the same pathways, or are otherwise similarly related. To generate a predicted side effect profile for a new drug targeting a novel or previously un-targeted protein target, an analyzer may query an adverse event database for records pertaining to patients who have taken drugs or combinations of drugs that target or affect molecular entities in the vicinity of the novel target within a global molecular entity graph, and, in some embodiments, may retrieve a plurality of adverse event records and generate an intersection of side effects associated with related targets to predict likely side effects for the novel target.

    摘要翻译： 本公开描述了用于预测甚至新的未经检验的药物的可能的副作用特征的系统和方法。 可以基于影响相同或相关分子实体的其它药物（例如附近靶蛋白，涉及相同途径）的副作用分布的交叉点或者以其他方式相似的方式产生预测的副作用分布。 为了产生针对新颖或先前未靶向的蛋白质靶标的新药物的预测副作用特征，分析器可以查询不良事件数据库以获得关于已经服用药物或靶向或影响分子实体的药物组合的患者的记录 在全局分子实体图中的新靶标的附近，并且在一些实施例中，可以检索多个不利事件记录并产生与相关目标相关联的副作用的交集，以预测新颖目标的可能副作用。

    Systems and methods for modeling changes in patient-specific blood vessel geometry and boundary conditions
    9.
    发明授权
    Systems and methods for modeling changes in patient-specific blood vessel geometry and boundary conditions 有权
    用于建模患者特异性血管几何形状和边界条件变化的系统和方法

    公开(公告)号：US09202010B2

    公开(公告)日：2015-12-01

    申请号：US14323201

    申请日：2014-07-03

    申请人： HeartFlow, Inc.

    发明人： Charles A. Taylor ,  Hyun Jin Kim ,  Sethuraman Sankaran ,  Michiel Schaap ,  David Eberle ,  Gilwoo Choi ,  Leo Grady

    IPC分类号： G06F19/00

    CPC分类号： G06F19/3437 ,  G06F17/5009 ,  G06F19/00 ,  G16H50/50

    摘要： Systems and methods are disclosed for modeling changes in patient-specific blood vessel geometry and boundary conditions resulting from changes in blood flow or pressure. One method includes determining, using a processor, a first anatomic model of one or more blood vessels of a patient; determining a biomechanical model of the one or more blood vessels based on at least the first anatomic model; determining one or more parameters associated with a physiological state of the patient; and creating a second anatomic model based on the biomechanical model and the one or more parameters associated with the physiological state.

    摘要翻译： 公开了系统和方法，用于模拟患者特异性血管几何形状和由血流或压力变化引起的边界条件的变化。 一种方法包括使用处理器确定患者的一个或多个血管的第一解剖模型; 至少基于所述第一解剖模型确定所述一个或多个血管的生物力学模型; 确定与患者的生理状态相关联的一个或多个参数; 以及基于生物力学模型和与生理状态相关联的一个或多个参数创建第二解剖模型。