Machine Learning Free Text Event Detection System

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published March 31st, 2026

Detected March 31st, 2026

Summary

The USPTO granted Patent US12591635B2 to Click Therapeutics, Inc. for a system using machine learning and free text data to detect and report events associated with software application use. The patent covers systems, methods, and computer-readable media for applying ML architectures to free text data to determine likelihood of application-related events and executing characterization actions. The patent contains 27 claims and was granted March 31, 2026.

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What changed

USPTO issued Patent US12591635B2 to Click Therapeutics covering machine learning systems that analyze free text data to detect events during software application use. The patent describes a computing system that identifies application data, applies free text to an ML architecture to determine event likelihood, provides model input to a generative ML model, and executes characterization actions. Key CPC classifications include G06N 20/00 (machine learning) and G06F 16/243 (data query structures).

This is a routine patent grant conferring exclusionary IP rights rather than imposing regulatory compliance obligations. No immediate actions are required from regulated entities. Organizations developing AI/ML event detection systems should review the patent scope to assess potential licensing considerations or freedom-to-operate implications. Patent monitoring should be incorporated into IP compliance programs to identify competitive landscape developments in healthcare software and AI-driven text analysis technologies.

Source document (simplified)

← USPTO Patent Grants

Using machine learning and free text data to detect and report events associated with use of software applications

Grant US12591635B2 Kind: B2 Mar 31, 2026

Assignee

Click Therapeutics, Inc.

Inventors

John Walsh, William Morse

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for executing actions for events associated with use of applications. A computing system can identify data associated with an application to be evaluated for at least one of a plurality of events associated with a use of the application. The computing system can determine, based on applying the free text to a machine learning (ML) architecture, a value indicating a likelihood of occurrence of an event associated with the use of the application. The computing system can provide to a generative ML model, a model input based on the free data and the value. The computing system can execute an action corresponding to characterizing the event.