- Patent Title: Predicting likelihood and site of metastasis from patient records
-
Application No.: US17373451Application Date: 2021-07-12
-
Publication No.: US11244763B2Publication Date: 2022-02-08
- Inventor: Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
- Applicant: Tempus Labs, Inc.
- Applicant Address: US IL Chicago
- Assignee: Tempus Labs, Inc.
- Current Assignee: Tempus Labs, Inc.
- Current Assignee Address: US IL Chicago
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G16H20/00 ; G16H50/20 ; G16H10/60 ; G16B30/00 ; G16B20/00

Abstract:
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.
Public/Granted literature
- US20210343419A1 PREDICTING LIKELIHOOD AND SITE OF METASTASIS FROM PATIENT RECORDS Public/Granted day:2021-11-04
Information query