METHOD OF MACHINE-LEARNING BY COLLECTING FEATURES OF DATA AND APPARATUS THEREOF

    公开(公告)号:US20210295151A1

    公开(公告)日:2021-09-23

    申请号:US17077114

    申请日:2020-10-22

    Applicant: Lunit Inc.

    Abstract: There is provided a method and apparatus that collects feature points of data and performs machine learning. A machine learning method comprises receiving first feature data obtained by applying a basic model to first analysis target data, receiving second feature data obtained by applying the basic model to second analysis target data, and obtaining a final machine learning model through performing machine learning on a correlation between the first feature data and first analysis result data and a correlation between the second feature data and second analysis result data.

    METHOD AND SYSTEM FOR PREDICTING RESPONSIVENESS TO THERAPY FOR CANCER PATIENT

    公开(公告)号:US20220145401A1

    公开(公告)日:2022-05-12

    申请号:US17521008

    申请日:2021-11-08

    Applicant: LUNIT INC.

    Inventor: Jeong Hoon LEE

    Abstract: A method for predicting responsiveness to therapy for cancer patient is provided, which includes acquiring a pathology slide image of a cancer patient, determining information on a plurality of lymphocytes and information on a plurality of tumor cells included in the pathology slide image, calculating a lymphocyte and tumor cell interaction score based on the information on the plurality of lymphocytes and the information on the plurality of tumor cells, and predicting responsiveness to therapy for the cancer patient by using the interaction score.

    METHOD AND SYSTEM FOR PROVIDING INTERPRETATION INFORMATION ON PATHOMICS DATA

    公开(公告)号:US20210183524A1

    公开(公告)日:2021-06-17

    申请号:US16832142

    申请日:2020-03-27

    Applicant: Lunit, Inc.

    Inventor: Jeong Hoon LEE

    Abstract: An operation method of a computing device operated by at least one processor is provided. The operation method comprises receiving pathomics data samples analyzed from slide images of patients and gene samples of the patients, generating a plurality of gene modules by grouping genetic information included in the gene samples, annotating information of databases significantly enriched in each of the gene modules, to a corresponding gene module, based on one-to-one correlation values between the plurality of the gene modules and a plurality of individual pathomics data representing the pathomics data samples, extracting connectivity between the plurality of the individual pathomics data and the plurality of gene modules, and connecting information annotated to each gene module and the individual pathomics data connected to the corresponding gene module.

    METHOD AND SYSTEM FOR GENERATING INTERPRETABLE PREDICTION RESULT FOR PATIENT

    公开(公告)号:US20230030313A1

    公开(公告)日:2023-02-02

    申请号:US17858330

    申请日:2022-07-06

    Applicant: LUNIT INC.

    Abstract: Provided is a method, performed by at least one computing apparatus, of generating an interpretable prediction result for a patient. The method includes receiving medical image data of a subject patient, receiving additional medical data of the subject patient, and generating information about a prediction result for the subject patient, based on the medical image data of the subject patient and the additional medical data of the subject patient, by using a machine learning prediction model.

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