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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 12779223 B1

PDFFull Text
Date of Patent:
Nov. 03, 2026

Filed:

Apr. 07, 2023

Personalized machine learning algorithm for stimulation/block therapy for treatment of type 2 diabetes

Applicant:

Medtronic, Inc., Minneapolis, MN (US);

Inventors:

Maneesh Shrivastav, Blaine, MN (US);

Shaileshkumar V. Musley, Brooklyn Park, MN (US);

Kanthaiah Koka, Valencia, CA (US);

Steven M. Goetz, North Oaks, MN (US);

Suryakiran Vadrevu, Santa Clarita, CA (US);

Rebecca K. Gottlieb, Culver City, CA (US);

David John Miller, Austin, TX (US);

Leonid M. Litvak, Los Angeles, CA (US);

Assignee:

Medtronic, Inc., Minneapolis, MN (US);

Attorney:

Sheridan Ross PC

Primary Examiner:

Manolis Pahakis

Int. Cl.
CPC ...
A61N 1/36 (2006.01); A61B 5/00 (2006.01); A61B 5/145 (2006.01); A61B 17/00 (2006.01); A61B 17/135 (2006.01); A61N 1/02 (2006.01); A61N 1/05 (2006.01); A61N 1/372 (2006.01); G16H 10/40 (2018.01); G16H 20/17 (2018.01);
U.S. Cl.
CPC ...
A61N 1/36053 (2013.01); A61B 5/14532 (2013.01); A61B 5/7435 (2013.01); A61B 17/1355 (2013.01); A61N 1/025 (2013.01); A61N 1/0507 (2013.01); A61N 1/0551 (2013.01); A61N 1/0556 (2013.01); A61N 1/0558 (2013.01); A61N 1/36007 (2013.01); A61N 1/3606 (2013.01); A61N 1/36132 (2013.01); A61N 1/36135 (2013.01); A61N 1/36139 (2013.01); A61N 1/36146 (2013.01); A61N 1/36171 (2013.01); A61N 1/36185 (2013.01); A61N 1/37247 (2013.01); G16H 10/40 (2018.01); G16H 20/17 (2018.01); A61B 2017/00867 (2013.01); A61N 1/3605 (2013.01);
Abstract

A system is provided herein for stimulating an anatomical element of a patient. For example, the system may include a device (e.g., an implantable pulse generator) and an electrode device electrically coupled to the device. In some examples, the device may be configured to generate a current that is to be applied to the anatomical element via the electrode device to stimulate the anatomical element as part of a therapy aimed at achieving or supporting glycemic control in the patient. Additionally, the current may be applied to the anatomical element based on a machine learning algorithm that uses inputs gathered for determining one or more characteristics for the current. Accordingly, the machine learning algorithm may be configured to determine the one or more characteristics for the current specific to the patient (e.g., to provide personalized therapy settings for the patient).

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Shrivastav, Maneesh. (2026). Personalized machine learning algorithm for stimulation/block therapy for treatment of type 2 diabetes (U.S. Patent No. 12779223). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12779223

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