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    Method for administering a cancer treatment
    4.
    发明授权
    Method for administering a cancer treatment 有权

    公开(公告)号：US12266426B2

    公开(公告)日：2025-04-01

    申请号：US16208149

    申请日：2018-12-03

    Applicant: ILLUMINA, INC.

    Inventor： Shile Zhang ,  Mengchi Wang ,  Aaron Wise ,  Han Kang ,  Vitor Ferreira Onuchic ,  Kristina Kruglyak

    IPC: G16B40/20 ,  C12Q1/6886 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18 ,  G16B45/00 ,  G16B50/20 ,  G16B50/30 ,  G16H50/20 ,  G16H50/50

    Abstract: Provided is a computer-implemented method, including inputting to a trained machine learning classifier genomic information of a non-training subject that includes features from a tumor sample, wherein the trained machine learning classifier trained on features of tumor samples obtained from training subjects and their a responsiveness to checkpoint inhibition treatment and the machine-learning classifier is trained to predict responsiveness to the treatment, and generating a checkpoint inhibition responsiveness classification predictive of the subject's responding to the checkpoint inhibition with the trained machine-learning classifier, and reporting the checkpoint inhibition responsiveness classification using a graphical user interface. Also provided are a computer system for performing the method and a machine learning classifier trained by the method.

    SYSTEMS AND METHODS FOR ASSESSING DRUG EFFICACY
    6.
    发明申请
    SYSTEMS AND METHODS FOR ASSESSING DRUG EFFICACY 审中-公开

    公开(公告)号：US20200176083A1

    公开(公告)日：2020-06-04

    申请号：US16208149

    申请日：2018-12-03

    Applicant: ILLUMINA, INC.

    Inventor： Shile Zhang ,  Mengchi Wang ,  Aaron Wise ,  Han Kang ,  Vitor Ferreira Onuchic ,  Kristina Kruglyak

    IPC: G16B40/20 ,  C12Q1/6886 ,  G16H50/20 ,  G16H50/50 ,  G16B45/00 ,  G16B50/30 ,  G16B50/20 ,  G06F17/15 ,  G06F17/16 ,  G06F17/18

    Abstract: Provided is a computer-implemented method, including inputting to a trained machine learning classifier genomic information of a non-training subject that includes features from a tumor sample, wherein the trained machine learning classifier trained on features of tumor samples obtained from training subjects and their a responsiveness to checkpoint inhibition treatment and the machine-learning classifier is trained to predict responsiveness to the treatment, and generating a checkpoint inhibition responsiveness classification predictive of the subject's responding to the checkpoint inhibition with the trained machine-learning classifier, and reporting the checkpoint inhibition responsiveness classification using a graphical user interface. Also provided are a computer system for performing the method and a machine learning classifier trained by the method.

    SYSTEMS AND METHODS FOR DETERMINING MICROSATELLITE INSTABILITY
    7.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING MICROSATELLITE INSTABILITY 有权

    公开(公告)号：US20250069714A1

    公开(公告)日：2025-02-27

    申请号：US18919011

    申请日：2024-10-17

    Applicant: ILLUMINA, INC.

    Inventor： Shile Zhang ,  Alex S. So ,  Shannon Kaplan ,  Kristina M. Kruglyak ,  Sven Bilke

    IPC: G16H10/60 ,  C12Q1/6869 ,  C12Q1/6886 ,  G01N33/50 ,  G06F9/30 ,  G16B20/20 ,  G16B30/20

    Abstract: Presented herein are techniques for determining microsatellite instability. The techniques include generating a reference sample dataset representative of or mimicing a hypothetical matched sample for an individual sample of interest. The reference sample dataset may be generated from a set of reference normal samples that are not matched to the sample of interest. For samples of interest lacking a matched sample, the reference sample dataset may be used to determine microsatellite instability and to provide an indication of a presence, absence, or degree of microsatellite instability of the sample of interest. The reference sample dataset may be generated such that individual microsatelliate regions associated with a high degree of variability between ethnic groups are filtered out, masked, or otherwise not considered.

    SYSTEMS AND METHODS FOR DETERMINING MICROSATELLITE INSTABILITY
    10.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING MICROSATELLITE INSTABILITY 审中-公开

    公开(公告)号：US20190156922A1

    公开(公告)日：2019-05-23

    申请号：US16191142

    申请日：2018-11-14

    Applicant: ILLUMINA, INC.

    Inventor： Shile Zhang ,  Alex S. So ,  Shannon Kaplan ,  Kristina M. Kruglyak ,  Sven Bilke

    IPC: G16H10/60 ,  C12Q1/6886 ,  G01N33/50 ,  G16B30/20 ,  G06F9/30

    Abstract: Presented herein are techniques for determining microsatellite instability. The techniques include generating a reference sample dataset representative of or mimicking a hypothetical matched sample for an individual sample of interest. The reference sample dataset may be generated from a set of reference normal samples that are not matched to the sample of interest. For samples of interest lacking a matched sample, the reference sample dataset may be used to determine microsatellite instability and to provide an indication of a presence, absence, or degree of microsatellite instability of the sample of interest. The reference sample dataset may be generated such that individual microsatelliate regions associated with a high degree of variability between ethnic groups are filtered out, masked, or otherwise not considered.

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