Invention Grant
- Patent Title: Systems and methods for predicting patient outcome to cancer therapy
-
Application No.: US16718549Application Date: 2019-12-18
-
Publication No.: US11482335B2Publication Date: 2022-10-25
- Inventor: Parag Jain , Rajat Roy , Bijay Shankar Jaiswal
- Applicant: DHRISTI INC.
- Applicant Address: US CA Saratoga
- Assignee: DHRISTI INC.
- Current Assignee: DHRISTI INC.
- Current Assignee Address: US CA Saratoga
- Agency: Cognition IP, P.C.
- Agent Edward Steakley; Saleh Kaihani
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G16H50/20 ; G16H30/40

Abstract:
Disclosed are systems and methods for predicting patient response to a treatment option. In one embodiment, the image slides from patient tissue samples are divided into patches and morphological patterns correlated with a disease outcome are labeled and given a patch-level score, based on whether the morphological patterns occur only in patients with good outcomes or patients with poor outcomes. A patient-level score can be generated based, at least partly, on the patch-level scores. Patch-level scores can identify regions of interest for targeted biomarker identification.
Public/Granted literature
- US20210193323A1 SYSTEMS AND METHODS FOR PREDICTING PATIENT OUTCOME TO CANCER THERAPY Public/Granted day:2021-06-24
Information query