Targeted Generation of Messages for Digital Therapeutics Using Generative Transformer Models

ChangeBridge: Patent Grants - Health Informatics (G16H)

Published March 31st, 2026

Detected March 31st, 2026

Summary

The USPTO granted patent US12592323B2 to Click Therapeutics, Inc. on March 31, 2026. The patent covers systems and methods for generating AI-driven health messages for digital therapeutics using generative transformer models. The technology identifies user conditions and parameters to generate personalized therapeutic messages through an application interface.

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What changed

The USPTO granted patent US12592323B2 titled 'Targeted generation of messages for digital therapeutics using generative transformer models' to Click Therapeutics, Inc. The patent (24 claims) covers systems and methods where a computing system identifies a user's condition and presentation parameters, generates a prompt using templates, applies it to a generative model trained on a healthcare corpus, and outputs targeted therapeutic messages. Filing date was June 18, 2024, with application number 18747260.

This is a routine patent grant that does not create compliance obligations for regulated entities. Companies developing digital therapeutics or AI-powered health messaging systems should review the patent claims to assess potential infringement risks. No immediate action is required unless the company is actively developing competing technologies in this specific domain. Patent monitoring is recommended for organizations in the digital therapeutics space.

Source document (simplified)

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Targeted generation of messages for digital therapeutics using generative transformer models

Grant US12592323B2 Kind: B2 Mar 31, 2026

Assignee

Click Therapeutics, Inc.

Inventors

William Morse, Qingzhe Li

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for generating messages targeted to address conditions in users. A computing system may identify (i) a condition of a user to be addressed and (ii) one or more parameters defining messages to be presented via an application towards achieving an endpoint associated with the condition for the user. The computing system may generate a prompt using the condition and the one or more parameters in accordance with a template. The computing system may apply the prompt to a generative model to output a message identifying at least one activity toward achieving the endpoint. The generative model may be trained using a corpus. The computing system may provide, the message for presentation to prompt the user to perform the activity via the application towards achieving the endpoint to address the condition.