Verily Patent for CGM Pattern Discovery in Diabetes Management

ChangeBridge: Patent Grants - Health Informatics (G16H)

Published March 31st, 2026

Detected March 31st, 2026

Summary

The USPTO granted Verily Life Sciences LLC Patent US12588838B1 for a diabetes management platform that analyzes continuous glucose monitoring (CGM) data to identify patterns indicative of similar behaviors or circumstances. The platform applies dynamic time warping algorithms to multiple data series to generate distance measures and discover patterns. The patent, with 20 claims, covers CPC classifications in G16H (Healthcare Informatics) and A61B (Measuring/Diagnosing).

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What changed

The USPTO granted Verily Life Sciences LLC a patent for a diabetes management platform that examines glucose measurements to discover patterns. The platform acquires multiple data series from continuous glucose monitoring devices and applies similarity algorithms, including dynamic time warping, to produce distance measures between data series. These measures enable identification of patterns indicative of similar behaviors or circumstances. The patent (Application No. 17026029, filed September 18, 2020) contains 20 claims and covers CPC classifications including G16H 20/17, A61B 5/14503, and related healthcare informatics categories.

Patent grants do not impose compliance obligations on third parties. This is an informational notice of intellectual property rights granted to Verily Life Sciences LLC. Companies developing similar CGM analytics technology should be aware of this patent portfolio when designing products to avoid potential infringement issues.

Source document (simplified)

← USPTO Patent Grants

Pattern discovery in continuous glucose monitoring data

Grant US12588838B1 Kind: B1 Mar 31, 2026

Assignee

Verily Life Sciences LLC

Inventors

Ali Shoeb, William Jacob Benhardt Biesinger, Joshua Burkart

Abstract

Introduced here are diabetes management platforms able to examine glucose measurements associated with a subject to discover patterns indicative of similar behaviors/circumstances. More specifically, a diabetes management platform can acquire multiple data series generated by a glucose monitoring device that monitors the blood glucose level of an individual over multiple time intervals. The diabetes management platform can then apply a similarity algorithm to produce a distance measure (also referred to as a “similarity measure”) for each data series. For example, the diabetes management platform may, for each data series, perform dynamic time warping to produce a distance measure with respect to each of the other data series. The diabetes management platform can identify patterns indicative of similar behaviors/circumstances based on these distance measures.

CPC Classifications

G16H 20/17 G16H 10/40 G16H 10/60 G16H 20/10 G16H 20/60 G16H 80/00 A61B 5/14503 A61B 5/14532 A61B 5/7275 A61B 5/7282 A61B 5/4857 A61B 5/486 A61B 5/4866 A61B 5/7475 G06F 16/285 G09B 5/02 G09B 19/00 G09B 19/0092