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    METHODS AND COMPOSITIONS FOR TREATING CANCER
    24.
    发明公开
    METHODS AND COMPOSITIONS FOR TREATING CANCER 审中-公开

    公开(公告)号：US20240207398A1

    公开(公告)日：2024-06-27

    申请号：US18423520

    申请日：2024-01-26

    申请人： Genentech, Inc. ,  Hoffmann-La Roche Inc.

    发明人： Qingyuan LIU ,  Anila TAHIRI ,  Zhao ZHANG ,  Edward Namserk CHA

    IPC分类号： A61K39/395 ,  A61K31/282 ,  A61K31/513 ,  A61K31/7068 ,  A61K38/17

    CPC分类号： A61K39/3955 ,  A61K31/282 ,  A61K31/513 ,  A61K31/7068 ,  A61K38/1774

    摘要： The invention provides methods and compositions for use in treating cancer, e.g., gastric cancer (e.g., a gastric carcinoma (GC) or a gastroesophageal junction carcinoma (GEJC) (e.g., inoperable, locally advanced, metastatic, or advanced GC or GEJC)) or rectal cancer (e.g., locally advanced rectal cancer (LARC)) in a subject, for example, by administering to the subject a treatment regimen that includes an anti-TIGIT antagonist antibody (e.g., tiragolumab) in combination with a PD-1 axis binding antagonist (e.g., atezolizumab). The treatment regimen may be administered with chemotherapy or following a neoadjuvant chemotherapy regimen. Also provided are compositions (e.g., compositions comprising a PD-1 axis binding antagonist (e.g., atezolizumab) and/or an anti-TIGIT antagonist antibody (e.g., tiragolumab), including pharmaceutical compositions thereof, kits thereof, and articles of manufacture thereof) for use in treating cancer, e.g., gastric cancer (e.g., a GC or a GEJC (e.g., inoperable, locally advanced, metastatic, or advanced GC or GEJC)) or rectal cancer (e.g., LARC) in a subject.

    CLOSURE PROCESSING EQUIPMENT AND METHOD
    26.
    发明公开
    CLOSURE PROCESSING EQUIPMENT AND METHOD 审中-公开

    公开(公告)号：US20240199400A1

    公开(公告)日：2024-06-20

    申请号：US18572493

    申请日：2022-08-14

    申请人： HOFFMANN-LA ROCHE INC.

    发明人： Neil B. CAMMISH ,  Guido DREES

    IPC分类号： B67B1/04

    CPC分类号： B67B1/045

    摘要： A closure processing equipment for closing openings of a number of containers includes a number of stopper members, a container holder and a set of compensation structures. Each of the stopper members is made of an elastic material, has a plug portion configured to fit into an opening of one of the number of containers and has a cover portion configured to abut a boundary surface adjacent to the opening of the one of the number of containers. The container holder has a number of container seats each configured to receive one of the number of containers in a predefined position. Each compensation structure of the set of compensation structures is configured to compensate a container manufacturing dimension tolerance. The set of compensation structures includes diverse compensation structures to compensate different container manufacturing dimension tolerances.

    METHOD FOR CLASSIFYING QUALITY OF BIOLOGICAL SENSOR DATA
    28.
    发明公开
    METHOD FOR CLASSIFYING QUALITY OF BIOLOGICAL SENSOR DATA 审中-公开

    公开(公告)号：US20240194298A1

    公开(公告)日：2024-06-13

    申请号：US18581036

    申请日：2024-02-19

    申请人： Hoffmann-La Roche Inc.

    发明人： Lito Kriara ,  Florian Lipsmeier ,  Mattia Zanon

    IPC分类号： G16B40/10 ,  G16B40/20

    CPC分类号： G16B40/10 ,  G16B40/20

    摘要： A computer implemented method for classifying quality of biological sensor data (110) comprising the following steps:



    providing biological sensor data (110) obtained by at least one biological sensor (112), wherein the biological sensor data (110) comprises at least one signal (116);
    classifying quality of the signal (116) by using at least one trained trainable model (119), wherein the trainable model (119) is trained on historical biological sensor data based on a supervised (134) and/or semi-supervised deep learning architecture (188), wherein the trainable model (119) is trained by optimizing one loss function in terms of classification or two loss functions in terms of signal reconstruction and classification.




    Further, a biological sensor (112), a computer program and a computer-readable storage medium are disclosed.