Oakland, CA, United States of America

Jordan Tharp

This inventor holds 1 USPTO granted patent. Top assignee: Verily Health Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jordan Tharp. Retrieved from https://idiyas.com/inventor/jordan-tharp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jordan Tharp and Voice-Based Behavioral Health Prediction

Introduction

Jordan Tharp is an inventor based in Oakland, California. His work includes a patent for using patient voice inputs and machine learning to predict clinically meaningful changes in behavioral health symptoms. Tharp is associated with Verily Health Inc.

Latest Patents

Tharp is credited with 1 patent, titled “Predicting Clinically Meaningful Changes in Behavioral Health Symptomatology Using Patient Voice Inputs.” The disclosed method receives a baseline behavioral sample and a later sample that includes a voice recording. A trained machine-learning model compares the samples and produces a score indicating a predicted change in the individual’s behavioral health symptoms. The result can then be presented through a graphical interface to an entity treating the individual.

Career Highlights

The patent describes an approach that combines behavioral samples, voice data, and machine-learning analysis to support the monitoring of behavioral health. It outlines how predicted changes can be communicated to a treating entity through a client device.

Collaborations

Tharp’s listed coworkers include Jacob Reiter and Joel Shor. His company affiliation is Verily Health Inc.

Conclusion

Jordan Tharp’s patent focuses on applying machine learning to patient voice inputs to predict changes in behavioral health symptoms and present those predictions to treating entities.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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