Health Future Projector Patent Application Filed

ChangeBridge: Patent Apps - Health Informatics (G16H)

Published September 20th, 2024

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260088179A1) filed by Toyota Research Institute, Inc. The application describes a 'Health Future Projector' system that uses AI to predict future health information and generate visualizations for users based on their demographic, health, and behavioral data.

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What changed

This document is a publication of a patent application filed by Toyota Research Institute, Inc., titled 'Health Future Projector'. The application details a method that involves receiving user image, demographic, health, and behavior information. It then uses mathematical and reinforcement learning models, along with generative AI, to predict future health information and create visualizations and predicted future images of the user.

As this is a patent application, it does not impose direct regulatory obligations on entities. However, it signals potential future technological developments in health informatics and AI, which may be relevant for companies operating in the healthcare and technology sectors, particularly those involved in data analysis, predictive modeling, and personalized health insights. Compliance officers should note the innovative use of AI in health data prediction and visualization as described in the abstract.

Source document (simplified)

← USPTO Patent Applications

HEALTH FUTURE PROJECTOR

Application US20260088179A1 Kind: A1 Mar 26, 2026

Assignee

Toyota Research Institute, Inc.

Inventors

Laura A. Libby, Nikos Arechiga, Nayeli S. Bravo, Candice Hogan

Abstract

A method may include receiving an image of a user; receiving demographic information, health information, and behavior information associated with the user; predicting, with a mathematical model, future health information for the user based on the demographic information, the health information, and the behavior information associated with the user; determining, with a reinforcement learning model, visualizations that are most effective for the user based on the demographic information, the health information, and the behavior information; and generating, with a generative artificial intelligence model, one or more predicted future images of the user based on the image of the user, the predicted future health information, and the determined visualizations.