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    METHOD FOR INCREASING AVAILABLE PROTEIN FROM ENDOSPORES FOR DETECTION PURPOSES
    1.
    发明申请
    METHOD FOR INCREASING AVAILABLE PROTEIN FROM ENDOSPORES FOR DETECTION PURPOSES 审中-公开
    增加内脏中可用蛋白质以用于检测目的的方法

    公开(公告)号：WO2017075552A1

    公开(公告)日：2017-05-04

    申请号：PCT/US2016/059609

    申请日：2016-10-29

    Applicant: 20/20 GENESYSTEMS INC.

    Inventor： RAIT, Vladimir

    IPC: C07H21/00 ,  C12N3/00 ,  C12Q1/68

    CPC classification number: G01N33/6803 ,  C12Q1/04 ,  G01N33/52

    Abstract: Methods, kits and reagents are provided for increasing the sensitivity of detecting the presence or absence of endospores by increasing the available protein for detection. The methods are fast and amendable to testing in a non-laboratory setting and use a protein detection reagent and solid microparticles.

    Abstract translation: 通过增加用于检测的可用蛋白来提供方法，试剂盒和试剂以提高检测内生孢子存在或不存在的灵敏度。 该方法速度快，可在非实验室环境下进行检测，并使用蛋白质检测试剂和固体微粒。

    OLIGONUCLEOTIDE-COATED AFFINITY MEMBRANES AND USES THEREOF
    2.
    发明申请
    OLIGONUCLEOTIDE-COATED AFFINITY MEMBRANES AND USES THEREOF 审中-公开
    寡核苷酸包膜亲和膜及其用途

    公开(公告)号：WO2010081114A2

    公开(公告)日：2010-07-15

    申请号：PCT/US2010020680

    申请日：2010-01-11

    Applicant: 20 20 GENESYSTEMS INC ,  JAMES WILLIAM M ,  RAIT VLADIMIR

    Inventor： JAMES WILLIAM M ,  RAIT VLADIMIR

    IPC: C12Q1/68

    CPC classification number: G01N33/54306 ,  C12Q1/6816 ,  C12Q1/6834 ,  C12Q2565/515 ,  C12Q2563/179

    Abstract: A method of analyzing tissue sections in a manner that provides information about the presence and expression levels of multiple biomarkers at each location within the tissue section. The method comprises the preparation of membranes having covalently bound oligonucleotides and the use of those membranes for evaluation of various markers in the sample. The membranes may be arranged in stacks, wherein each layer has a different oligonucleotide capture strand. Transfer oligonucleotides complementary to the capture strands are attached through a cleavable bond to antibodies that recognize and bind to specific biomarkers present in the tissue sample. The tissue sample is exposed to the antibody-transfer strand conjugate and then treated with a cleaving reagent. Upon cleavage, the transfer strand migrates through the stack and binds to the capture strand. The level of expression of the biomarker may be determined by measuring expression of a reporter on the transfer strand.

    Abstract translation: 以提供关于组织部分内的每个位置处的多个生物标志物的存在和表达水平的信息的方式分析组织切片的方法。 该方法包括制备具有共价结合寡核苷酸的膜，以及使用这些膜来评估样品中的各种标记物。 膜可以以堆叠方式布置，其中每层具有不同的寡核苷酸捕获链。 与捕获链互补的转移寡核苷酸通过可切割键连接到识别并结合存在于组织样品中的特异性生物标志物的抗体。 将组织样品暴露于抗体转移链缀合物，然后用切割试剂处理。 在切割时，转移链迁移通过堆叠并结合捕获链。 生物标志物的表达水平可以通过测量转移链上的报道分子的表达来确定。

    METHODS AND MACHINE LEARNING SYSTEMS FOR PREDICTING THE LIKLIHOOD OR RISK OF HAVING CANCER
    3.
    发明申请
    METHODS AND MACHINE LEARNING SYSTEMS FOR PREDICTING THE LIKLIHOOD OR RISK OF HAVING CANCER 审中-公开
    用于预测患有癌症或患有癌症的风险的方法和机器学习系统

    公开(公告)号：WO2016094330A2

    公开(公告)日：2016-06-16

    申请号：PCT/US2015064344

    申请日：2015-12-07

    Applicant: 20 20 GENESYSTEMS INC

    Inventor： COHEN JONATHAN ,  READICK JODD

    IPC: G06F19/00

    CPC classification number: G16H50/20 ,  G16H50/30

    Abstract: Embodiments of the present invention relate generally to non-invasive methods and diagnostic tests that measure biomarkers (e.g., tumor antigens), and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, techniques are provided for the use of artificial intelligence / machine learning systems that can incorporate and analyze medical data to perform a risk analysis to determine a likelihood for having cancer. By utilizing algorithms generated from the biomarker levels (e.g., tumor antigens) from large volumes of longitudinal or prospectively collected blood samples (e.g., real world data from one or more regions where blood based tumor biomarker cancer screening is commonplace) together with one or more clinical parameters (e.g. age, smoking history, disease signs or symptoms) a risk level of that patient having a cancer type is provided.

    Abstract translation: 本发明的实施例一般涉及测量生物标志物（例如肿瘤抗原）的非侵入性方法和诊断测试，以及用于评估患者具有的可能性的计算机实现的机器学习方法，装置，系统和计算机可读介质 一种疾病，相对于患者群体或群体群体。 在一个实施例中，提供了使用人工智能/机器学习系统的技术，其可以合并和分析医学数据以执行风险分析以确定患有癌症的可能性。 通过利用来自大量纵向或前瞻采集的血液样品（例如来自血液基肿瘤生物标志物癌症筛查常见的一个或多个区域的真实世界数据）的生物标志物水平（例如，肿瘤抗原）产生的算法以及一个或多个 提供临床参数（例如年龄，吸烟史，疾病迹象或症状），患有癌症类型的患者的风险水平。

    OLIGONUCLEOTIDE-COATED AFFINITY MEMBRANES AND USES THEREOF
    4.
    发明申请
    OLIGONUCLEOTIDE-COATED AFFINITY MEMBRANES AND USES THEREOF 审中-公开

    公开(公告)号：WO2010081114A3

    公开(公告)日：2010-07-15

    申请号：PCT/US2010/020680

    申请日：2010-01-11

    Applicant: 20/20 GENESYSTEMS, INC. ,  JAMES, William, M. ,  RAIT, Vladimir

    Inventor： JAMES, William, M. ,  RAIT, Vladimir

    IPC: C12Q1/68

    Abstract: A method of analyzing tissue sections in a manner that provides information about the presence and expression levels of multiple biomarkers at each location within the tissue section. The method comprises the preparation of membranes having covalently bound oligonucleotides and the use of those membranes for evaluation of various markers in the sample. The membranes may be arranged in stacks, wherein each layer has a different oligonucleotide capture strand. Transfer oligonucleotides complementary to the capture strands are attached through a cleavable bond to antibodies that recognize and bind to specific biomarkers present in the tissue sample. The tissue sample is exposed to the antibody-transfer strand conjugate and then treated with a cleaving reagent. Upon cleavage, the transfer strand migrates through the stack and binds to the capture strand. The level of expression of the biomarker may be determined by measuring expression of a reporter on the transfer strand.

    METHODS AND MACHINE LEARNING SYSTEMS FOR PREDICTING THE LIKLIHOOD OR RISK OF HAVING CANCER
    5.
    发明申请
    METHODS AND MACHINE LEARNING SYSTEMS FOR PREDICTING THE LIKLIHOOD OR RISK OF HAVING CANCER 审中-公开

    公开(公告)号：WO2016094330A3

    公开(公告)日：2016-06-16

    申请号：PCT/US2015/064344

    申请日：2015-12-07

    Applicant: 20/20 GENESYSTEMS, INC

    Inventor： COHEN, Jonathan ,  READICK, Jodd

    IPC: G06F19/00

    Abstract: Embodiments of the present invention relate generally to non-invasive methods and diagnostic tests that measure biomarkers (e.g., tumor antigens), and computer-implemented machine learning methods, apparatuses, systems, and computer-readable media for assessing a likelihood that a patient has a disease, relative to a patient population or a cohort population. In one embodiment, techniques are provided for the use of artificial intelligence / machine learning systems that can incorporate and analyze medical data to perform a risk analysis to determine a likelihood for having cancer. By utilizing algorithms generated from the biomarker levels (e.g., tumor antigens) from large volumes of longitudinal or prospectively collected blood samples (e.g., real world data from one or more regions where blood based tumor biomarker cancer screening is commonplace) together with one or more clinical parameters (e.g. age, smoking history, disease signs or symptoms) a risk level of that patient having a cancer type is provided.

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