San Francisco, CA, United States of America

Weston Ferrer

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Weston Ferrer. Retrieved from https://idiyas.com/inventor/weston-ferrer

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

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Weston Ferrer and Voice-Based Behavioral Health Innovation.

Introduction

Weston Ferrer is an inventor based in San Francisco, California, whose patent work focuses on applying machine learning to behavioral health assessment. He is associated with Verily Health Inc. and is named on 1 patent.

Latest Patents

Ferrer’s patent, “Predicting Clinically Meaningful Changes in Behavioral Health Symptomatology Using Patient Voice Inputs,” describes a method for estimating changes in an individual’s behavioral health symptoms. The method compares a baseline behavioral sample with a subsequent sample that includes a voice recording. A trained machine-learning model uses the samples to calculate a difference score representing a predicted change in symptoms. The result can then be displayed through a graphical interface for an entity treating the individual.

Career Highlights

The patent reflects Ferrer’s work at the intersection of voice data, machine learning, and behavioral health. Its proposed approach uses changes between patient samples to support the assessment of symptom progression.

Collaborations

Ferrer’s listed coworkers include Jacob Reiter and Joel Shor. The patent’s described system also involves a client device and a treating entity that receives the predicted change through a graphical interface.

Conclusion

Weston Ferrer’s patent highlights an approach to behavioral health monitoring that uses patient voice inputs and machine learning to predict clinically meaningful changes in symptoms.

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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