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:
Jul. 14, 2026

Filed:

Jul. 10, 2020
Applicant:

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

Inventors:

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

Jonathan Hughes, Charlottesville, VA (US);

Stacey Anderson, Charlottesville, VA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/145 (2006.01); A61M 5/172 (2006.01); G16H 20/17 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 5/7275 (2013.01); A61B 5/14532 (2013.01); A61B 5/7282 (2013.01); A61M 5/1723 (2013.01); G16H 20/17 (2018.01); G16H 50/20 (2018.01); A61M 2205/502 (2013.01); A61M 2230/201 (2013.01);
Abstract

Embodiments relate to an adaptive glycemia monitoring and forecasting system that includes an event monitor configured to receive blood glucose levels of an individual or information about an activity performed by the individual, and generate an event output. The system includes a control module configured to pull observation data, predictor variables, and population estimated vector of covariate weightings coefficients from a database, and generate updated estimated vector of covariate weightings coefficients for the individual user based on the event output. The updated estimated vector of covariate weightings coefficients are determined by a cross-entropy loss objective function. The updated estimated vector of covariate weightings coefficients are used to predict at least one or more of a predicted hypoglycemia state, a predicted normal glycemia state, or a predicted hyperglycemia state for the individual user.


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