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    • 3. 发明申请
    • CANCER MARKERS
    • 癌症标志
    • WO2012130478A1
    • 2012-10-04
    • PCT/EP2012/001477
    • 2012-03-30
    • QUEEN MARY AND WESTFIELD COLLEGE, UNIVERSITY OF LONDONLORINCZ, Attila
    • LORINCZ, Attila
    • C12Q1/68
    • C12Q1/6886C12Q2600/118C12Q2600/154
    • Hence, the invention relates to a method for diagnosis and/or prognosis of cancer, comprising the steps of analyzing in a sample of a subject the DNA methylation status of a genomic region of at least one member of the group of, (i) SFN according to SEQ ID NO. 1, (ii) SLIT2 according to SEQ ID NO. 2, (iii) SERPINB5 according to SEQ ID NO. 3; and (iv) TWIST 1 according to SEQ ID NO 4; wherein, if (i) SFN shows a methylation cut off value of above 80 % and/or, (ii) SLIT2 shows a methylation cut-off value of above 45 % and/or, (iii) SERPBINB5 shows a methylation cut-off value of above 70 %, and/or (iv) TWIST 1 shows a methylation level below 15 % the sample is categorized as a sample from a patient with cancer and/of a poor prognosis.
    • 因此,本发明涉及一种用于癌症的诊断和/或预后的方法,包括以下步骤:在受试者的样品中分析以下组中至少一个成员的基因组区域的DNA甲基化状态:(i)SFN 根据SEQ ID NO。 1,(ii)根据SEQ ID NO。 2,(iii)SEQ ID NO:5的SERPINB5。 3; 和(iv)根据SEQ ID NO 4的TWIST 1; 其中,如果(i)SFN显示高于80%的甲基化切断值和/或(ii)SLIT2显示高于45%的甲基化截止值和/或(iii)SERPBINB5显示甲基化截止值 值高于70%,和/或(iv)TWIST 1显示甲基化水平低于15%,样品被分类为患有癌症和/或预后不良的患者的样品。
    • 7. 发明申请
    • METHOD OF MONITORING THE PERFORMANCE OF A SOFTWARE APPLICATION
    • 监控软件应用性能的方法
    • WO2011009892A1
    • 2011-01-27
    • PCT/EP2010/060575
    • 2010-07-21
    • QUEEN MARY AND WESTFIELD COLLEGE, UNIVERSITY OF LONDONPAGE, David JohnOGILVIE, Rupert Lawrence GranthamPITTS, Jonathan Michael
    • PAGE, David JohnOGILVIE, Rupert Lawrence GranthamPITTS, Jonathan Michael
    • G06F11/34H04L12/26
    • G06F11/3409G06F11/3457G06F2201/865H04L43/08
    • A method of monitoring the level of performance of a software application running on a network-attached computing device, comprises monitoring information exchange at least one station on the network; measuring at least two performance indicator metrics, such as delay, jitter, loss, response time, throughput, goodput, and object size; and deriving an indicator parameter, from a non-linear combination of the indicator metrics. A transformation may be applied to each indicator metric to obtaining a corresponding derived value, and the derived values then additively combined, to obtain the said indicator parameter. The transformation has a first region in which the derived value depends relatively weakly on the corresponding metric, and a second region, in which the derived value depends relatively strongly on the corresponding metric. A score value may be entered by a user, indicative of the user's perception of the performance of the software application, and compared with the derived indicator parameter. The calculation used to derive the indicator parameter may be varied, in dependence on the user-entered score. Diagnostic traces may be triggered in dependence on the derived indicator parameter. Values of the indicator parameter and associated trace data may be collected in a database and collated to diagnose and/or predict problems in the said computer system.
    • 一种监视在网络连接的计算设备上运行的软件应用程序的性能水平的方法,包括监视网络上的至少一个站的信息交换; 测量至少两个性能指标度量,例如延迟,抖动,丢失,响应时间,吞吐量,输出和对象大小; 以及从指标度量的非线性组合导出指标参数。 可以将变换应用于每个指示符度量以获得相应的导出值,然后将导出值加法组合,以获得所述指标参数。 该变换具有第一区域,其中导出值相对较弱地依赖于对应的度量,以及第二区域,其中导出值相对强烈地取决于相应的度量。 用户可以输入分数值,指示用户对软件应用的表现的感知,并与导出的指标参数进行比较。 用于导出指标参数的计算可以根据用户输入的分数而变化。 可以根据导出的指示符参数来触发诊断迹线。 可以在数据库中收集指示符参数和相关跟踪数据的值,并对其进行整理以诊断和/或预测所述计算机系统中的问题。
    • 8. 发明申请
    • METHODS FOR DIAGNOSING CANCER
    • 用于诊断癌症的方法
    • WO2012013931A1
    • 2012-02-02
    • PCT/GB2011/001130
    • 2011-07-27
    • QUEEN MARY AND WESTFIELD COLLEGE UNIVERSITY OF LONDONTEH, Muy, Teck
    • TEH, Muy, Teck
    • C12Q1/68
    • C12Q1/6886C12Q2600/112C12Q2600/118C12Q2600/16
    • Provided are methods for diagnosing cancer in a patient or for identifying a patient at risk of developing cancer. The methods comprise determining the amount of five or more biomarkers selected from HOXA7, AURKA, NEK2, FOXM1B, CCNB1, CEP55, CENPA, DNMT3B, DNMT1, HELLS, MAPK8, BMI1, ITGB1, IVL and CTNNB1 in a sample obtained from a patient and comparing the amount of the determined biomarkers in the sample from the patient to the amount of the biomarkers in or of a normal control. A difference in the amount of the biomarkers in the sample from the patient compared to the amount of the biomarkers in or of the normal control is associated with the presence of cancer or is associated with a risk of developing cancer. Also provided are methods for analysing the differential expression of biomarkers between samples obtained from a patient suffering from or suspected of suffering from cancer and samples obtained from or of a normal control, the method comprising analysing the differential expression using an algorithm. Further provided are kits for use in the methods.
    • 提供了用于诊断患者中的癌症或用于鉴定患有癌症风险的患者的方法。 所述方法包括从患者获得的样品中确定选自HOXA7,AURKA,NEK2,FOXM1B,CCNB1,CEP55,CENPA,DNMT3B,DNMT1,HELLS,MAPK8,BMI1,ITGB1,IVL和CTNNB1中的五种或更多种生物标志物的量, 将来自患者的样品中确定的生物标志物的量与正常对照中的生物标志物的量进行比较。 与正常对照中的生物标志物的量相比,来自患者的样品中生物标志物的量的差异与癌症的存在相关或与发生癌症的风险相关。 还提供了分析从患有或怀疑患有癌症的患者和从正常对照获得的样品获得的样品之间生物标志物的差异表达的方法,所述方法包括使用算法分析差异表达。 还提供了用于该方法的试剂盒。