Invention Grant
- Patent Title: Predicting response to immunotherapy treatment using deep learning analysis of imaging and clinical data
-
Application No.: US17383649Application Date: 2021-07-23
-
Publication No.: US11568992B2Publication Date: 2023-01-31
- Inventor: Petr Jordan , Rita Ciaravino , Salmaan Ahmed
- Applicant: ONC.AI, INC.
- Applicant Address: US CA San Carlos
- Assignee: ONC.AI, INC.
- Current Assignee: ONC.AI, INC.
- Current Assignee Address: US CA San Carlos
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G16H50/20
- IPC: G16H50/20 ; G06N3/04 ; G06N3/08 ; G16H30/20 ; G16H30/40 ; G16H50/70 ; G16H20/10 ; G16H50/30 ; G16H50/50 ; G06T7/00 ; G16H20/40

Abstract:
A method comprises providing a pre-treatment image of a target subject to at least one deep learning model uniquely trained to predict immunotherapy treatment responses. The method further comprises generating, by a processing device, a predicted treatment response score to a treatment based on the single pre-treatment image and the at least one deep learning model. The method further comprises providing, based on the predicted treatment response score, a recommended treatment plan.
Public/Granted literature
- US20220028551A1 PREDICTING RESPONSE TO IMMUNOTHERAPY TREATMENT USING DEEP LEARNING ANALYSIS OF IMAGING AND CLINICAL DATA Public/Granted day:2022-01-27
Information query