SYSTEMS AND METHODS FOR DETERMINING WHETHER A SUBJECT HAS A CANCER CONDITION USING TRANSFER LEARNING

    公开(公告)号:US20240212848A1

    公开(公告)日:2024-06-27

    申请号:US18523660

    申请日:2023-11-29

    申请人: GRAIL, LLC

    发明人: M. Cyrus MAHER

    摘要: Systems and methods for classifier training are provided. A first dataset is obtained that comprises, for each first subject, a corresponding plurality of bin values, each for a bin in a plurality of bins, and subject cancer condition. A feature extraction technique is applied to the first dataset thereby obtaining feature extraction functions, each of which is an independent linear or nonlinear function of bin values of the bins. A second dataset is obtained comprising, for each second subject, a corresponding plurality of bin values, each for a bin in the plurality of bins and subject cancer condition. The plurality of bin values of each corresponding subject in the second plurality are projected onto the respective feature extraction functions, thereby forming a transformed second dataset comprising feature values for each subject. The transformed second dataset and subject cancer condition serves to train a classifier on the cancer condition set.

    Systems and methods for determining whether a subject has a cancer condition using transfer learning

    公开(公告)号:US11869661B2

    公开(公告)日:2024-01-09

    申请号:US16881928

    申请日:2020-05-22

    申请人: GRAIL, LLC

    发明人: M. Cyrus Maher

    摘要: Systems and methods for classifier training are provided. A first dataset is obtained that comprises, for each first subject, a corresponding plurality of bin values, each for a bin in a plurality of bins, and subject cancer condition. A feature extraction technique is applied to the first dataset thereby obtaining feature extraction functions, each of which is an independent linear or nonlinear function of bin values of the bins. A second dataset is obtained comprising, for each second subject, a corresponding plurality of bin values, each for a bin in the plurality of bins and subject cancer condition. The plurality of bin values of each corresponding subject in the second plurality are projected onto the respective feature extraction functions, thereby forming a transformed second dataset comprising feature values for each subject. The transformed second dataset and subject cancer condition serves to train a classifier on the cancer condition set.

    Methods of analyzing nucleic acid fragments

    公开(公告)号:US11603553B2

    公开(公告)日:2023-03-14

    申请号:US16824417

    申请日:2020-03-19

    申请人: Grail, LLC

    摘要: Provided herein are methods for enriching a biological sample for a target nucleic acid, and analyzing the nucleic acid. In some cases, a biological sample is enriched for target nucleic acids associated with a cancer or tumor. In some cases, a biological sample is enriched for target nucleic acids, and the target nucleic acids vary in length. In some cases, one or more probes are used to enrich the biological sample for the target nucleic acid. In some cases, one or more probes hybridize to one or more ends of a target nucleic acid.