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:
Oct. 14, 2025

Filed:

Nov. 08, 2021
Applicant:

Verily Life Sciences Llc, South San Francisco, CA (US);

Inventors:

Craig Mermel, Los Gatos, CA (US);

Yun Liu, Mountain View, CA (US);

Naren Manoj, Mountain View, CA (US);

Matthew Symonds, Mountain View, CA (US);

Martin Stumpe, Mountain View, CA (US);

Lily Peng, Mountain View, CA (US);

Kunal Nagpal, Mountain View, CA (US);

Ellery Wulczyn, Mountain View, CA (US);

Davis Foote, Mountain View, CA (US);

David F. Steiner, Mountain View, CA (US);

Po-Hsuan Cameron Chen, Palo Alto, CA (US);

Assignee:

Verily Life Sciences LLC, Dallas, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 5/00 (2006.01); G06F 18/21 (2023.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/7275 (2013.01); G06F 18/21 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30081 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/031 (2022.01);
Abstract

One example method for AI prediction of prostate cancer outcomes involves receiving an image of prostate tissue; assigning Gleason pattern values to one or more regions within the image using an artificial intelligence Gleason grading model, the model trained to identify Gleason patterns on a patch-by-patch basis in a prostate tissue image; determining relative areal proportions of the Gleason patterns within the image; assigning at least one of a risk score or risk group value to the image based on the determined relative areal proportions; and outputting at least one of the risk score or the risk group value.


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