Verily Life Sciences LLC - Pattern Discovery in Continuous Glucose Monitoring Data
Summary
USPTO granted patent US12588838B1 to Verily Life Sciences LLC on March 31, 2026. The patent covers diabetes management platforms that apply similarity algorithms, including dynamic time warping, to glucose measurement data series to discover patterns indicative of similar behaviors and circumstances. The patent contains 20 claims and was filed on September 18, 2020.
What changed
USPTO issued patent US12588838B1 to Verily Life Sciences LLC, covering systems and methods for pattern discovery in continuous glucose monitoring data. The patent describes diabetes management platforms that acquire multiple data series from glucose monitoring devices, apply dynamic time warping and similarity algorithms to produce distance measures between data series, and identify patterns indicative of similar behaviors or circumstances.
Entities developing or commercializing CGM-based pattern recognition or diabetes management systems should review this patent for potential licensing needs or freedom-to-operate concerns. Competitors in the continuous glucose monitoring, diabetes technology, or digital health sectors may need to assess whether their products fall within the scope of these 20 claims.
Archived snapshot
Apr 17, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
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
Filing Date
2020-09-18
Application No.
17026029
Claims
20
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