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    METHOD FOR PREDICTING PATIENT'S RESPONSE TO BIGLYCAN TREATMENT
    52.
    发明公开
    METHOD FOR PREDICTING PATIENT'S RESPONSE TO BIGLYCAN TREATMENT 审中-公开
    预测患者对大规模治疗反应的方法

    公开(公告)号：EP3026432A2

    公开(公告)日：2016-06-01

    申请号：EP15188122.4

    申请日：2011-12-27

    申请人： Brown University

    发明人： AMENTA, Alison R. ,  YILMAZ, Atilgan ,  McKECHNIE, Beth A. ,  FALLON, Justin R.

    IPC分类号： G01N33/50 ,  G01N33/68

    CPC分类号： G01N33/6893 ,  A61K31/4985 ,  A61K31/635 ,  A61K38/1709 ,  A61K38/1719 ,  A61K38/39 ,  A61K45/06 ,  G01N2800/2878 ,  G01N2800/2885 ,  G01N2800/2892 ,  G01N2800/52 ,  A61K2300/00

    摘要： The present discloure provides methods for predicting a patient's response to biglycan therapy for diseases or conditions associated with an abnormal level or activity of biglycan; disorders associated with an unstable cytoplasmic membrane, for example, due to an unstable dystrophin associated protein complex (DAPC); disorders associated with abnormal synapses or neuromuscular junctions, including those resulting from an abnormal MuSK activation or acetylcholine receptor (AChR) aggregation. Examples of such diseases include muscular dystrophies, such as Duchenne's Muscular Dystrophy, Becker's Muscular Dystrophy, neuromuscular disorders and neurological disorders. This application also provides combination therapeutics, such as a biglycan therapeutic and a utrophin therapeutic.

    摘要翻译： 本公开提供了预测患者对双糖链蛋白聚糖治疗对与双糖链蛋白聚糖异常水平或活性相关的疾病或病症的反应的方法; 例如由于不稳定的肌营养不良蛋白复合物（DAPC）引起的与不稳定的细胞质膜相关的病症; 与异常突触或神经肌肉接头有关的疾病，包括由异常MuSK激活或乙酰胆碱受体（AChR）聚集引起的疾病。 这类疾病的实例包括肌营养不良，例如杜兴氏肌营养不良，贝克氏肌营养不良，神经肌肉疾病和神经障碍。 该应用还提供组合治疗剂，如双糖链蛋白聚糖治疗剂和尿促性素蛋白治疗剂。

    CRYPTOGRAPHIC ACCUMULATORS FOR AUTHENTICATED HASH TABLES
    57.
    发明公开
    CRYPTOGRAPHIC ACCUMULATORS FOR AUTHENTICATED HASH TABLES 有权
    密码学蓄电池认证哈希表

    公开(公告)号：EP2338127A1

    公开(公告)日：2011-06-29

    申请号：EP09810385.6

    申请日：2009-08-28

    申请人： Brown University

    发明人： PAPAMANTHOU, Charalampos ,  TAMASSIA, Roberto ,  TRIANDOPOULOS, Nikolaos

    IPC分类号： G06F21/00

    CPC分类号： G06F21/64 ,  G06F17/30327 ,  G06F21/00 ,  H04L12/28

    摘要： In one exemplary embodiment, an apparatus includes a memory storing data and a processor performing operations. The apparatus generates or maintains an accumulation tree for the stored data -- an ordered tree structure with a root node, leaf nodes and internal nodes. Each leaf node corresponds to a portion of the data. A depth of the tree remains constant. A bound on a degree of each internal node is a function of a number of leaf nodes of a subtree rooted at the internal node. Each node of the tree has an accumulation value. Accumulation values of the root and internal nodes are determined by hierarchically employing an accumulator over the accumulation values of the nodes lying one level below the node in question. The accumulation value of the root node is a digest for the tree.

    METHOD AND APPARATUS FOR MODEL-BASED DETECTION OF STRUCTURE IN PROJECTION DATA
    58.
    发明授权
    METHOD AND APPARATUS FOR MODEL-BASED DETECTION OF STRUCTURE IN PROJECTION DATA 有权
    方法和设备的用于结构的投影数据基于模型的检测

    公开(公告)号：EP1639546B1

    公开(公告)日：2011-05-04

    申请号：EP04755629.5

    申请日：2004-06-17

    申请人： BROWN UNIVERSITY

    发明人： MUNDY, Joseph, L. ,  KIMIA, Benjamin

    IPC分类号： G06T17/10

    CPC分类号： G06T7/0014 ,  A61B6/032 ,  A61B6/12 ,  A61B6/466 ,  A61B6/504 ,  A61B6/5217 ,  G06T7/0012 ,  G06T7/12 ,  G06T17/10 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/30101

    摘要： In one aspect, a method and apparatus for determining a value for at least one parameter of a configuration of a model associated with structure of which view data has been obtained including detecting at least one feature in the view data, and determining the value for the at least one parameter of the configuration of the model based at least in part on the at least one feature. In another aspect, a method and apparatus for detecting at least one blood vessel from object view data obtained from a scan of the at least one blood vessel including generating a model of the at least one blood vessel, the model having a plurality of parameters describing a model configuration, determining a hypothesis for the model configuration based, at least in part, on at least one feature detected in the object view data, and updating the model configuration according to a comparison with the object view data to arrive at a final model configuration, so that the final model configuration represents the at least one blood vessel.

    IMPROVED TECHNIQUES FOR STOCHASTIC COMBINATORIAL OPTIMIZATION
    59.
    发明公开
    IMPROVED TECHNIQUES FOR STOCHASTIC COMBINATORIAL OPTIMIZATION 审中-公开
    改进方法随机组合优化

    公开(公告)号：EP2257892A1

    公开(公告)日：2010-12-08

    申请号：EP09718092.1

    申请日：2009-03-05

    申请人： Brown University

    发明人： MERCIER, Luc ,  VAN HENTENRYCK, Pascal

    IPC分类号： G06F17/10

    CPC分类号： G06F17/11

    摘要： In one exemplary embodiment, a method includes: modeling, by at least one processor, a problem as an approximated exogenous Markov decision process (X-MDP); converting, by the at least one processor, the approximated X-MDP into a Markov decision process (MDP); solving, by the at least one processor, the MDP using at least one search algorithm to obtain a decision; and returning, by the at least one processor, the decision.