知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

59 条记录 (耗时 0.02 秒)

    COMPOSITION FOR CULTURING NATURAL KILLER CELLS, AND METHOD USING SAME
    41.
    发明申请
    COMPOSITION FOR CULTURING NATURAL KILLER CELLS, AND METHOD USING SAME 有权

    公开(公告)号：US20220259562A1

    公开(公告)日：2022-08-18

    申请号：US17610857

    申请日：2020-05-14

    申请人： CHA UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

    发明人： KyuBum KWACK ,  Sooyeon OH ,  Hae Jong LEE ,  Jeong Min SIM ,  Jae Joon LIM

    IPC分类号： C12N5/0783

    摘要： Provided are a composition and a kit, each for culturing natural killer cells, and a method of using the same. According to the composition for culturing natural killer cells according to aspect, and a method of culturing natural killer cells using the same, when natural killer cells are cultured in peripheral blood mononuclear cells, they are cultured in a medium including the composition for culturing natural killer cells, the composition including magnetic particles, of which at least one surface is bound with an activating receptor ligand, an inhibitory receptor ligand, a costimulatory receptor ligand, a cytokine, a cytokine receptor, an immune checkpoint ligand, a blocking antibody, or a combination thereof, thereby proliferating natural killer cells in a large quantity and promoting activation or inhibition of natural killer cells, or expansion of natural killer cells. Accordingly, the natural killer cells cultured using the same may be usefully applied to immune cell therapy products. Further, the magnetic particles may be easily separated from the medium, which is a simple and economical manner. Since the safe magnetic particles are used, they are excellent in terms of clinical safety.

    DEEP LEARNING-BASED SOCIAL MASHUP LOGIC IMPLEMENTATION SYSTEM AND METHOD FOR REDUCING ADVERSE EFFECTS OF SOCIAL NETWORKING SERVICE
    44.
    发明申请
    DEEP LEARNING-BASED SOCIAL MASHUP LOGIC IMPLEMENTATION SYSTEM AND METHOD FOR REDUCING ADVERSE EFFECTS OF SOCIAL NETWORKING SERVICE 审中-公开

    公开(公告)号：US20200153777A1

    公开(公告)日：2020-05-14

    申请号：US16217053

    申请日：2018-12-12

    申请人： CHA University Industry-Academic Cooperation Foundation

    发明人： TaiKyeong Jeong

    IPC分类号： H04L12/58 ,  G06N3/08 ,  G06N3/04 ,  H04L29/08

    摘要： A deep learning-based social mashup logic implementation system, includes a user interface server configured to store data about a user's personal information, login information, activity information, and the like of web- and mobile-based interfaces, an external link server configured to store data about activities, a situation recognition server configured to sense mental and environmental changes of the user and store data related to the mental and environmental changes of the user, an analysis server configured to generate and store a relationship index obtained by numerically calculating a relationship between the user and the other user with an artificial neural network, and a management server configured to adjust a level of the other user's access to the user's posts and a level of exposing content uploaded by the user.

    SYSTEM AND METHOD FOR ANALYSING MULTI-CHANNEL SIGNALS IN TIME SERIES MANNER
    45.
    发明申请
    SYSTEM AND METHOD FOR ANALYSING MULTI-CHANNEL SIGNALS IN TIME SERIES MANNER 审中-公开

    公开(公告)号：US20200008214A1

    公开(公告)日：2020-01-02

    申请号：US16439872

    申请日：2019-06-13

    申请人： CHA University Industry-Academic Cooperation Foundation

    发明人： Tai Kyeong JEONG ,  Hyun Ho KIM

    IPC分类号： H04W72/12 ,  H04J3/16 ,  H04B17/309

    摘要： Disclosed a system for analyzing multi-channel signals in a time series manner, the system including: a sensing device including a plurality of sensing modules disposed at different positions of a measurement target, wherein the sensing device is configured for outputting multi-channel signals from the plurality of sensing modules; and a main device for analyzing the multi-channel signals based on a time series based analysis scheme using a shapelet, wherein the main device includes: a signal collector connected to the plurality of sensing modules and configured for receiving the multi-channel signals from the plurality of sensing modules during a predetermined measurement period; a shapelet detector configured for detecting a shapelet pattern of each of the channel signals; and a priority assigner configured for assigning an analysis priority to one of the multi-channel signals based on the shapelet pattern of each of the multi-channel signals.

    BIOMIMETIC NERVE CHIP FOR EVALUATING EFFICACY AND TOXICITY ON NERVE, AND USE THEREOF
    49.
    发明申请
    BIOMIMETIC NERVE CHIP FOR EVALUATING EFFICACY AND TOXICITY ON NERVE, AND USE THEREOF 有权

    公开(公告)号：US20230011800A1

    公开(公告)日：2023-01-12

    申请号：US17782541

    申请日：2020-12-04

    申请人： CHA UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

    发明人： Sungho KO ,  Geonho CHOI

    IPC分类号： G01N33/50 ,  C12N5/079 ,  C12N5/0793 ,  C12M3/06 ,  C12M1/00 ,  C12M1/34

    摘要： The present invention relates to a biomimetic nerve chip for evaluating the efficacy and toxicity of a drug, a method for evaluating the efficacy of a drug on nerve cells through astrocytes by using the biomimetic nerve chip, and a method for evaluating the toxicity of a drug on nerve cells through astrocytes by using the biomimetic nerve chip, the biomimetic nerve chip comprising: an astrocyte supply unit and a nerve cell supply unit for simulating nerve tissue; and a culture solution supply unit for supplying a culture solution to the astrocyte supply unit and the nerve cell supply unit. By using the biomimetic nerve chip for evaluating the efficacy and toxicity of a drug provided in the present invention, it is possible to overcome inaccuracies due to differences between the different species in animal experiments in the study of nerve tissues, and using a combination of astrocytes and nerve cells enables use of the nerve chip as a platform to more accurately evaluate the efficacy and toxicity of a drug under conditions similar to in vivo conditions, and the nerve chip can be applied to studies of microenvironments in nerve tissues and other organ-on-a-chip studies. Therefore, the present invention may be utilized in the development of a human-on-a-chip that can effectively analyze the efficacy and toxicity of a drug.