TRACKING CHANGES IN AVERAGE GLYCEMIA IN DIABETICS
    4.
    发明公开
    TRACKING CHANGES IN AVERAGE GLYCEMIA IN DIABETICS 有权
    在中间血糖糖尿病患者跟踪修改

    公开(公告)号:EP2959009A1

    公开(公告)日:2015-12-30

    申请号:EP14754564.4

    申请日:2014-02-21

    IPC分类号: C12Q1/54 G06F19/00

    摘要: 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.

    PARADIGM DRUG RESPONSE NETWORKS
    10.
    发明公开
    PARADIGM DRUG RESPONSE NETWORKS 有权
    范式药ADDRESS网络

    公开(公告)号:EP3005199A1

    公开(公告)日:2016-04-13

    申请号:EP14804788.9

    申请日:2014-05-28

    IPC分类号: G06F19/10

    CPC分类号: G16B99/00 G16B5/00 G16H50/20

    摘要: Systems and methods are presented in which omics data from multiple cell or tissue samples are used to identify pathway elements that are associated with a treatment parameter of the cell or tissue (e.g., resistance towards a specific drug). So identified pathway elements are then modulated in silico in a statistical factor graph model to provide a modified data set that is re-evaluated with respect to the treatment parameter. Such systems and models are particularly useful for recommendation of multi-drug treatments for treatment-nave patients.