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    PREDICTION OF A RESPONSE OF A PROSTATE CANCER SUBJECT TO THERAPY OR PERSONALIZATION OF THERAPY OF A PROSTATE CANCER SUBJECT
    1.
    发明公开
    PREDICTION OF A RESPONSE OF A PROSTATE CANCER SUBJECT TO THERAPY OR PERSONALIZATION OF THERAPY OF A PROSTATE CANCER SUBJECT 审中-公开

    公开(公告)号：US20230407402A1

    公开(公告)日：2023-12-21

    申请号：US18023598

    申请日：2021-08-24

    申请人： KONINKLIJKE PHILIPS N.V.

    发明人： Ralf Dieter Hoffmann ,  Monique Stoffels

    IPC分类号： C12Q1/6886

    CPC分类号： C12Q1/6886 ,  C12Q2600/158 ,  C12Q2600/106

    摘要： The invention relates to a method of predicting a response of a prostate cancer subject to therapy or of personalizing therapy of a prostate cancer subject, comprising determining or receiving the result of a determination of a first gene expression profile for each of one or more immune defense response genes, of a second gene expression profile for each of one or more T-Cell receptor signaling genes, and of a third gene expression profile for each of one or more PDE4D7 correlated genes, said first, second, and third expression profile(s) being determined in a biological sample obtained from the subject, determining the prediction of the therapy response or the personalization of the therapy based on the first, second, and third gene expression profile(s), and, optionally, providing the prediction or the personalization or a therapy recommendation based on the prediction or the personalization to a medical caregiver or the subject.

    PREDICTION OF AN OUTCOME OF A COLORECTAL CANCER SUBJECT
    2.
    发明公开
    PREDICTION OF AN OUTCOME OF A COLORECTAL CANCER SUBJECT 审中-公开

    公开(公告)号：US20240076746A1

    公开(公告)日：2024-03-07

    申请号：US18271793

    申请日：2022-01-05

    申请人： KONINKLIJKE PHILIPS N.V.

    发明人： Ralf Dieter Hoffmann ,  Monique Stoffels

    IPC分类号： C12Q1/6886 ,  C12Q1/6851

    CPC分类号： C12Q1/6886 ,  C12Q1/6851 ,  C12Q2600/118 ,  C12Q2600/158

    摘要： The invention relates to a method of predicting an outcome of a colorectal cancer subject, comprising determining or receiving the result of a determination of a first gene expression profile for each of one or more immune defense response genes, and/or of a second gene expression profile for each of one or more T-Cell receptor signaling genes, and/or of a third gene expression profile for each of one or more PDE4D7 correlated genes, said first, second, and third expression profile(s) being determined in a biological sample obtained from the subject, determining the prediction of outcome based on the first gene expression profile(s), or on the second gene expression profile(s), or on the third gene expression profile(s), or on the first, second, and third gene expression profile(s), and, optionally, providing the prediction to a medical caregiver or the subject.

    PREDICTION OF AN OUTCOME OF A BLADDER OR KIDNEY CANCER SUBJECT
    5.
    发明公开
    PREDICTION OF AN OUTCOME OF A BLADDER OR KIDNEY CANCER SUBJECT 审中-公开

    公开(公告)号：US20230357858A1

    公开(公告)日：2023-11-09

    申请号：US18029748

    申请日：2021-09-13

    申请人： KONINKLIJKE PHILIPS N.V.

    发明人： Ralf Dieter Hoffmann ,  Monique Stoffels

    IPC分类号： C12Q1/6886 ,  G16B25/10 ,  G16B40/20

    CPC分类号： C12Q1/6886 ,  G16B25/10 ,  G16B40/20 ,  C12Q2600/118 ,  C12Q2600/158

    摘要： The invention relates to a method of predicting an outcome of a bladder or kidney cancer subject, comprising determining or receiving the result of a determination of a first gene expression profile for each of one or more immune defense response genes, and/or of a second gene expression profile for each of one or more T-Cell receptor signaling genes, and/or of a third gene expression profile for each of one or more PDE4D7 correlated genes, said first, second, and third expression profile(s) being determined in a biological sample obtained from the subject, determining the prediction of outcome based on the first gene expression profile(s), or on the second gene expression profile(s), or on the third gene expression profile(s), or on the first, second, and third gene expression profile(s), and, optionally, providing the prediction to a medical caregiver or the subject.

    EVALUATING INPUT DATA USING A DEEP LEARNING ALGORITHM
    6.
    发明申请
    EVALUATING INPUT DATA USING A DEEP LEARNING ALGORITHM 审中-公开

    公开(公告)号：US20200251224A1

    公开(公告)日：2020-08-06

    申请号：US16648719

    申请日：2018-09-10

    申请人： KONINKLIJKE PHILIPS N.V.

    发明人： Dimitrios Mavroeidis ,  Monique Hendriks ,  Pieter Christiaan Vos ,  Sergio Consoli ,  Jacek Lukasz Kustra ,  Johan Janssen ,  Ralf Dieter Hoffmann

    IPC分类号： G16H50/70 ,  G16H10/60 ,  G06F17/18 ,  G06K9/62 ,  G06N3/08 ,  G06N20/00

    摘要： The invention provides a method for evaluating a set of input data, the input data comprising at least one of: clinical data of a subject; genomic data of a subject; clinical data of a plurality of subjects; and genomic data of a plurality of subjects, using a deep learning algorithm. The method includes obtaining a set of input data, wherein the set of input data comprises raw data arranged into a plurality of data clusters and tuning the deep learning algorithm based on the plurality of data clusters. The deep learning algorithm comprises: an input layer; an output layer; and a plurality of hidden layers. The method further includes performing stabstical clustering on the raw data using the deep learning algorithm, thereby generating statistical clusters and obtaining a marker from each statistical cluster. Finally, the set of input data is evaluated based on the markers to derive data of medical relevance in respect of the subject or subjects.