Invention Grant
- Patent Title: Deep learning models for tumor evaluation
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Application No.: US17789590Application Date: 2021-01-11
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Publication No.: US12224064B2Publication Date: 2025-02-11
- Inventor: Mustafa I. Jaber , Christopher W. Szeto , Liudmila A. Beziaeva , Stephen Charles Benz
- Applicant: NantCell, Inc. , NantOmics, LLC , NantHealth, Inc.
- Applicant Address: US CA Culver City; US CA Culver City; US CA Culver City
- Assignee: NantCell, Inc.,NantOmics, LLC,NantHealth, Inc.
- Current Assignee: NantCell, Inc.,NantOmics, LLC,NantHealth, Inc.
- Current Assignee Address: US CA Culver City; US CA Culver City; US CA Culver City
- Agency: Harness Dickey & Pierce P.L.C.
- International Application: PCT/US2021/012980 WO 20210111
- International Announcement: WO2021/142449 WO 20210715
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G06F18/2413 ; G06T7/00 ; G06V20/69 ; G16H30/40

Abstract:
A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.
Public/Granted literature
- US20230030506A1 Deep Learning Models For Tumor Evaluation Public/Granted day:2023-02-02
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