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    System, Method and Computer Simulation Environment For In Silico Trials in Pre-Diabetes and Type 2 Diabetes
    2.
    发明申请
    System, Method and Computer Simulation Environment For In Silico Trials in Pre-Diabetes and Type 2 Diabetes 有权

    公开(公告)号：US20220230762A1

    公开(公告)日：2022-07-21

    申请号：US17590659

    申请日：2022-02-01

    Applicant: University of Virginia Patent Foundation

    Inventor： Boris P. Kovatchev ,  Claudio Cobelli ,  Chiara Dalla Man

    IPC: G16H50/50 ,  G16H50/70 ,  G06N5/00 ,  G16H10/60 ,  A61B5/00 ,  G16H50/20

    Abstract: An electronic system and method simulates a glucose-insulin metabolic system of a T2DM or prediabetic subject, wherein the system includes a subsystem that models dynamic glucose concentration in a T2DM or prediabetic subject, including an electronic module that models endogenous glucose production (EGP(t)), or meal glucose rate of appearance (Ra(t), or glucose utilization (U(t)), or renal excretion of glucose (B(t)), a subsystem that models dynamic insulin concentration in the T2DM or prediabetic subject, including an electronic module that models insulin secretion (S(t)), an electronic database containing a population of virtual T2DM or prediabetic subjects, each virtual subject having a plurality of metabolic parameters, and a processing module that calculates an effect of variation of at least one metabolic parameter value on the glucose insulin metabolic system of a virtual subject by inputting the plurality of metabolic parameter values.

    TRACKING CHANGES IN AVERAGE GLYCEMIA IN DIABETICS
    4.
    发明申请
    TRACKING CHANGES IN AVERAGE GLYCEMIA IN DIABETICS 审中-公开

    公开(公告)号：US20190318801A1

    公开(公告)日：2019-10-17

    申请号：US16451766

    申请日：2019-06-25

    Applicant: University of Virginia Patent Foundation

    Inventor： Boris P. Kovatchev ,  Marc D. Breton

    IPC: G16B5/00 ,  A61B5/145 ,  G16H50/50 ,  G01N33/487 ,  A61B5/00

    Abstract: A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.

    METHOD AND SYSTEM FOR MODEL-BASED TRACKING OF CHANGES IN AVERAGE GLYCEMIA IN DIABETES
    8.
    发明申请
    METHOD AND SYSTEM FOR MODEL-BASED TRACKING OF CHANGES IN AVERAGE GLYCEMIA IN DIABETES 审中-公开
    基于模型的跟踪糖尿病平均糖尿病变化的方法与系统

    公开(公告)号：US20160004813A1

    公开(公告)日：2016-01-07

    申请号：US14769638

    申请日：2014-02-21

    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION

    Inventor： Boris P. Kovatchev ,  Marc D. Breton

    IPC: G06F19/12 ,  G06F19/00

    CPC classification number: G16B5/00 ,  A61B5/14532 ,  A61B5/4839 ,  A61B5/7267 ,  A61B2560/0223 ,  G01N33/48707 ,  G01N2800/042 ,  G16H50/50

    Abstract: A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.

    Abstract translation: 用于跟踪糖尿病平均血糖变化的方法，系统和计算机可读介质基于用于检索SMBG数据的概念上新的方法。 使用对HbA1c波动的理解作为潜在动力系统的动作的可测量效果，SMBG在该系统的状态下偶尔获得瞥见，并且使用这些测量可以为个体糖尿病患者重建隐藏的基础系统轨迹。 使用分区建模提供了一种新的两步算法，其包括：（i）从空腹葡萄糖读数实时估计HbA1c，用任何新的进入的空腹SMBG数据点更新，以及（ii）初始化和校准 估计HbA1c跟踪与定期获取每日SMBG资料。 这些概况的估计包括在两个潜在因素中捕获每日BG变异性的因子模型。

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