- 专利标题: Predicting likelihood and site of metastasis from patient records
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申请号: US17558479申请日: 2021-12-21
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公开(公告)号: US11848107B2公开(公告)日: 2023-12-19
- 发明人: Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
- 申请人: Tempus Labs, Inc.
- 申请人地址: US IL Chicago
- 专利权人: Tempus Labs, Inc.
- 当前专利权人: Tempus Labs, Inc.
- 当前专利权人地址: US IL Chicago
- 代理机构: MORGAN, LEWIS & BOCKIUS LLP
- 主分类号: G16H50/30
- IPC分类号: G16H50/30 ; G16H10/60 ; G16H50/20 ; G16H20/00 ; G16B20/00 ; G16B30/00 ; G16B25/10
摘要:
Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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