Westford, MA, United States of America

Stefanie Nickels

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Stefanie Nickels. Retrieved from https://idiyas.com/inventor/stefanie-nickels

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Stefanie Nickels and Voice-Based Behavioral Health Innovation.

Introduction

Stefanie Nickels is an inventor associated with Westford, Massachusetts, and Verily Health Inc. Her patent work explores how patient voice inputs and machine learning can help identify meaningful changes in behavioral health symptoms.

Latest Patents

Nickels is named on one patent: “Predicting Clinically Meaningful Changes in Behavioral Health Symptomatology Using Patient Voice Inputs.” The described method compares an individual’s baseline behavioral sample with a later sample that includes a voice recording. A trained machine-learning model uses the samples to calculate a difference score that predicts changes in behavioral health symptomatology. The predicted change can then be displayed through a graphical interface for an entity treating the individual. Nickels is associated with 1 patent.

Career Highlights

Her listed invention applies machine learning to behavioral health assessment, using voice recordings as one source of information for tracking changes over time. The approach is designed to present predicted changes to a treating entity through a client device.

Collaborations

The provided information lists Jacob Reiter and Joel Shor as Nickels’s coworkers. It does not specify their roles in the patent or the invention.

Conclusion

Stefanie Nickels’s patent work connects patient voice inputs and machine learning to the prediction and communication of behavioral health symptom changes.

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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