The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 15, 2022

Filed:

Oct. 05, 2021
Applicant:

Paige.ai, Inc., New York, NY (US);

Inventors:

Leo Grady, Darien, CT (US);

Christopher Kanan, Pittsford, NY (US);

Jorge S. Reis-Filho, New York, NY (US);

Assignee:

PAIGE.AI, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/40 (2018.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06V 10/25 (2022.01); G16H 50/30 (2018.01); A61N 5/10 (2006.01);
U.S. Cl.
CPC ...
G16H 20/40 (2018.01); A61N 5/103 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G16H 50/30 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01);
Abstract

Systems and methods are disclosed for predicting a resistance index associated with a tumor and surrounding tissue, comprising receiving one or more digital images of a pathology specimen, receiving additional information about a patient and/or a disease associated with the pathology specimen, determining at least one target region of the one or more digital images for analysis and removing a non-relevant region of the one or more digital images, applying a machine learning system to the one or more digital images to determine a resistance index for the target region of the one or more digital images, the machine learning system having been trained using a plurality of training images to predict the resistance index for the target region using a plurality of images of pathology specimens, and outputting the resistance index corresponding to the target region.


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