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:
Jun. 10, 2025

Filed:

Feb. 13, 2020
Applicant:

University of Virginia Patent Foundation, Charlottesville, VA (US);

Inventors:

Boris P. Kovatchev, Charlottesville, VA (US);

Patrick T. Keith-Hynes, Madison, TN (US);

Marc D. Breton, Charlottesville, VA (US);

Stephen D. Patek, Charlottesville, VA (US);

Assignee:

UNIVERISTY OF VIRGINIA PATENT FOUNDATION, Charlottesville, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/11 (2006.01); A61B 5/145 (2006.01); A61B 5/33 (2021.01); A61K 38/28 (2006.01); A61M 5/168 (2006.01); A61M 5/172 (2006.01); G16H 20/10 (2018.01); G16H 20/17 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2006.01); G16H 40/63 (2018.01);
U.S. Cl.
CPC ...
A61B 5/4839 (2013.01); A61B 5/0022 (2013.01); A61B 5/0024 (2013.01); A61B 5/0205 (2013.01); A61B 5/021 (2013.01); A61B 5/11 (2013.01); A61B 5/14532 (2013.01); A61B 5/33 (2021.01); A61B 5/486 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 5/742 (2013.01); A61B 5/746 (2013.01); A61B 5/747 (2013.01); A61K 38/28 (2013.01); A61M 5/16831 (2013.01); A61M 5/1723 (2013.01); G16H 20/10 (2018.01); G16H 20/17 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/024 (2013.01); G16H 40/63 (2018.01);
Abstract

A flexible system for utilizing data from different monitoring techniques and capable of providing assistance to patients with diabetes at several scalable levels, ranging from advice about long-term trends and prognosis to real-time automated closed-loop control (artificial pancreas). These scalable monitoring and treatment strategies are delivered by a unified system called the Diabetes Assistant (DiAs) platform. The system provides a foundation for implementation of various monitoring, advisory, and automated diabetes treatment algorithms or methods. The DiAs recommendations are tailored to the specifics of an individual patient, and to the patient risk assessment at any given moment.


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