Nucleic acid affinity columns
    14.
    发明申请
    Nucleic acid affinity columns 审中-公开
    核酸亲和柱

    公开(公告)号:US20060204991A1

    公开(公告)日:2006-09-14

    申请号:US11360146

    申请日:2006-02-22

    IPC分类号: C12Q1/68 C12P19/34

    摘要: This invention provides nucleic acid affinity matrices that bear a large number of different nucleic acid affinity ligands allowing the simultaneous selection and removal of a large number of preselected nucleic acids from the sample Methods of producing such affinity matrices are also provided In general the methods involve the steps of a) providing a nucleic acid amplification template array comprising a surface to which are attached at least 50 oligonucleotides having different nucleic acid sequences, and wherein each different oligonucleotide is localized in a predetermined region of said surface, the density of said oligonucleotides is greater than about 60 different oligonucleotides per 1 cm2, and all of said different oligonucleotides have an identical terminal 3′ nucleic acid sequence and an identical terminal 5′ nucleic acid sequence b) amplifying said multiplicity of oligonucleotides to provide a pool of amplified nucleic acids, and c) attaching the pool of nucleic acids to a solid support

    摘要翻译: 本发明提供了携带大量不同核酸亲和配体的核酸亲和基质,允许从样品中同时选择和除去大量预选择的核酸。还提供了产生这种亲和基质的方法一般来说,该方法涉及 步骤a)提供核酸扩增模板阵列,其包含与至少50个具有不同核酸序列的寡核苷酸连接的表面,并且其中每个不同的寡核苷酸定位在所述表面的预定区域中,所述寡核苷酸的密度较大 每1cm 2超过约60个不同的寡核苷酸,并且所有所述不同的寡核苷酸具有相同的末端3'核酸序列和相同的末端5'核酸序列b)扩增所述多重寡核苷酸以提供 一组扩增的核酸,以及c)附着核酸池 酸固体支持物

    Estimating healthcare outcomes for individuals
    15.
    发明授权
    Estimating healthcare outcomes for individuals 有权
    估计个人的医疗结果

    公开(公告)号:US08224665B2

    公开(公告)日:2012-07-17

    申请号:US12146727

    申请日:2008-06-26

    申请人: MacDonald Morris

    发明人: MacDonald Morris

    IPC分类号: G06Q10/00 G06Q50/00

    摘要: A method and apparatus for predicting a health benefit for an individual is provided. Outcomes from a first simulation on a set of simulated individuals reflecting a population are stored and used to determine a first risk function and corresponding cost values. Outcomes from a second simulation on a set of simulated individuals reflecting having a healthcare intervention are stored and used to determine a second risk function reflecting the intervention and corresponding cost values of the intervention. A benefit function is derived from the difference of the first and second risk functions. A cost function that describes the cost of the intervention is derived from the respective cost values. The derived benefit function and cost function are used to predict the corresponding benefit and cost of the healthcare intervention for a given individual. Individuals can be ranked by degree of expected benefit.

    摘要翻译: 提供了一种用于预测个体的健康益处的方法和装置。 存储一组反映人口的模拟个体的第一次模拟的结果,并用于确定第一风险函数和相应的成本值。 存储用于反映具有医疗保健干预的一组模拟个体的第二模拟的结果并用于确定反映干预的干预和相应成本值的第二风险函数。 利益函数来源于第一和第二风险函数的差异。 描述干预成本的成本函数是从各自的成本值得出的。 衍生的福利函数和成本函数用于预测给定个人的医疗干预的相应收益和成本。 个人可以按预期收益程度排列。

    Estimating healthcare outcomes for individuals
    17.
    发明授权
    Estimating healthcare outcomes for individuals 有权
    估计个人的医疗结果

    公开(公告)号:US08930225B2

    公开(公告)日:2015-01-06

    申请号:US13448055

    申请日:2012-04-16

    申请人: MacDonald Morris

    发明人: MacDonald Morris

    摘要: A method and apparatus for predicting a health benefit for an individual is provided. Outcomes from a first simulation on a set of simulated individuals reflecting a population are stored and used to determine a first risk function and corresponding cost values. Outcomes from a second simulation on a set of simulated individuals reflecting having a healthcare intervention are stored and used to determine a second risk function reflecting the intervention and corresponding cost values of the intervention. A benefit function is derived from the difference of the first and second risk functions. A cost function that describes the cost of the intervention is derived from the respective cost values. The derived benefit function and cost function are used to predict the corresponding benefit and cost of the healthcare intervention for a given individual. Individuals can be ranked by degree of expected benefit.

    摘要翻译: 提供了一种用于预测个体的健康益处的方法和装置。 存储一组反映人口的模拟个体的第一次模拟的结果,并用于确定第一风险函数和相应的成本值。 存储用于反映具有医疗保健干预的一组模拟个体的第二模拟的结果并用于确定反映干预的干预和相应成本值的第二风险函数。 利益函数来源于第一和第二风险函数的差异。 描述干预成本的成本函数是从各自的成本值得出的。 衍生的福利函数和成本函数用于预测给定个人的医疗干预的相应收益和成本。 个人可以按预期收益程度排列。

    ESTIMATING HEALTHCARE OUTCOMES FOR INDIVIDUALS
    18.
    发明申请
    ESTIMATING HEALTHCARE OUTCOMES FOR INDIVIDUALS 有权
    估计个人健康成就

    公开(公告)号:US20120245953A1

    公开(公告)日:2012-09-27

    申请号:US13448055

    申请日:2012-04-16

    申请人: MacDonald Morris

    发明人: MacDonald Morris

    IPC分类号: G06Q50/22

    摘要: A method and apparatus for predicting a health benefit for an individual is provided. Outcomes from a first simulation on a set of simulated individuals reflecting a population are stored and used to determine a first risk function and corresponding cost values. Outcomes from a second simulation on a set of simulated individuals reflecting having a healthcare intervention are stored and used to determine a second risk function reflecting the intervention and corresponding cost values of the intervention. A benefit function is derived from the difference of the first and second risk functions. A cost function that describes the cost of the intervention is derived from the respective cost values. The derived benefit function and cost function are used to predict the corresponding benefit and cost of the healthcare intervention for a given individual. Individuals can be ranked by degree of expected benefit.

    摘要翻译: 提供了一种用于预测个体的健康益处的方法和装置。 存储一组反映人口的模拟个体的第一次模拟的结果,并用于确定第一风险函数和相应的成本值。 存储用于反映具有医疗干预的一组模拟个体的第二模拟的结果并用于确定反映干预的干预和对应成本值的第二风险函数。 利益函数来源于第一和第二风险函数的差异。 描述干预成本的成本函数是从各自的成本值得出的。 衍生的福利函数和成本函数用于预测给定个人的医疗干预的相应收益和成本。 个人可以按预期收益程度排列。