IMMUNOSUPPRESSIVE AGENTS AND THEIR USE IN THERAPY

    公开(公告)号:US20200323953A1

    公开(公告)日:2020-10-15

    申请号:US16683188

    申请日:2019-11-13

    Inventor: Marit Otterlei

    Abstract: The present invention provides an agent, or composition containing an agent, for use in treating or preventing hypercytokinemia in a subject resulting from cytokine release from non-proliferating immune cells in blood, wherein said agent comprises: (i) an oligopeptidic compound comprising a PCNA interacting motif and a domain that facilitates the cellular uptake of said compound, wherein the PCNA interacting motif is X1X2X3X4X5 (SEQ ID NO: 1) and wherein: X1 is a basic amino acid; X2 is an aromatic amino acid; X3 is an uncharged amino acid other than an aromatic amino acid, Glycine (G) and Proline (P); X4 is any amino acid other than Proline (P), an acidic amino acid or an aromatic amino acid; and X5 is a basic amino acid or Proline (P); or (ii) a nucleic acid molecule comprising a sequence encoding the oligopeptidic compound of (i). In certain aspects the agent and compositions of the invention may be used as single agents. In other aspects of the invention agents and compositions of the invention may be used in conjunction with one or more additional active agents, such as kinase inhibitors.

    BIOFEEDBACK SYSTEM
    5.
    发明公开
    BIOFEEDBACK SYSTEM 审中-公开

    公开(公告)号:US20230172540A1

    公开(公告)日:2023-06-08

    申请号:US18000695

    申请日:2021-02-03

    CPC classification number: A61B5/486 A61B5/4824 A61B5/4836

    Abstract: A biofeedback system for headache patients comprises: a sensor system (2) for obtaining and transmitting data indicative of a plurality of physiological parameters of the patient, a personal computing device (4) arranged to receive data from the sensor system (2) and to interact with the patient via a user interface of the personal computing device (4), and a computer-implemented biofeedback agent (6). The sensor system (2) is configured for measurement of the physiological parameters of the patient, wherein the physiological parameters include at least two of muscle tension, body temperature, heart rate and heart rate variability. The personal computing device (4) together with the biofeedback agent (6) are configured to carry out the following steps: obtain data indicative of the physiological parameters from the sensor system (2); instruct the patient to control the physiological parameters; determine baseline levels for each of the physiological parameters; derive a score for each of the physiological parameters relative to the baseline levels, wherein the score increases in reaction to control of the respective physiological parameter; and use a weighting system to determine a weighting for the score associated with each of the physiological parameters and present a total score to the patient via the user interface, the total score consisting of a combination of the weighted scores, wherein the weighting system gives a higher weighting to the score for the physiological parameter that the patient most successfully controls and a lower weighting to the score for the physiological parameter that the patient least successfully controls.

    Ultrasound Cardiac Processing
    10.
    发明申请

    公开(公告)号:US20210085294A1

    公开(公告)日:2021-03-25

    申请号:US16585034

    申请日:2019-09-27

    Abstract: A method of processing cardiac ultrasound data for determining information about a mechanical wave in the heart. The method comprises receiving data representative of a time series of three-dimensional data frames, generated from ultrasound signals from a human or animal heart, each frame comprising a set of voxels, each voxel value representing an acceleration component of a respective location in the heart at a common time. The method also comprises identifying, for each voxel, a frame of the series in which the voxel value is at a maximum. A three-dimensional time-propagation data set is generated by assigning each voxel a value representative of the time of the respective frame in the time series for which the corresponding voxel is at a maximum. The method then comprises generating data representative of a three-dimensional velocity vector field by calculating time derivatives from the three-dimensional time-propagation data set.

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