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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.

Patent No.:

US 12608805 B1

PDFFull Text
Date of Patent:
Apr. 21, 2026

Filed:

Nov. 30, 2021

Machine learning to predict lung cancer involvement of lymph nodes

Applicant:

Johnson & Johnson Enterprise Innovation Inc., New Brunswick, NJ (US);

Inventors:

George R. Washko, Jr., West Roxbury, MA (US);

Raul San Jose Estepar, Wellesley, MA (US);

Charles Matthew Kinsey, New Brunswick, NJ (US);

Christopher Scott Stevenson, West Sussex, GB;

Assignee:

Johnson & Johnson Enterprise Innovation Inc., New Brunswick, NJ (US);

Attorney:

Paradice & Li LLP

Primary Examiner:

Emily C Terrell

Assistant Examiner:

Julia Z. Yao

Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10068 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

Disclosed herein are methods for determining a subject level risk of metastatic cancer involving the training and/or deployment of models to determine 1) a lymph node level risk of individual lymph node involvement and/or 2) a subject level risk of lymph node involvement. Thus, the methods can identify patients who are high or low risk for having nodal disease and optionally enable the guided intervention of cancer patients, for example, via treatment.

Find Patent Forward Citations

Washko, Jr., George. (2026). Machine learning to predict lung cancer involvement of lymph nodes (U.S. Patent No. 12608805). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12608805

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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