Chapel Hill, NC, United States of America

Alex Murr

This inventor holds 1 USPTO granted patent. Top assignee: The University of North Carolina at Chapel Hill. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alex Murr. Retrieved from https://idiyas.com/inventor/alex-murr

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Alex Murr and the Transoral Robotic Simulator.

Introduction

Alex Murr is an inventor associated with the University of North Carolina at Chapel Hill in Chapel Hill, North Carolina. His patent work includes a simulator designed to support training in transoral robotic surgery.

Latest Patents

Murr is credited with 1 patent, titled “Transoral Robotic Simulator.” The invention describes a three-dimensional human head model with a synthetic oral cavity, including a mandible structure and a simulated tongue and/or tonsil. Silicone is used for the simulated anatomical features, while artificial tissue inside the oral cavity is designed to mimic biological tissue, including tumors. Marker material on or within the artificial tissue helps users distinguish it visually from the surrounding synthetic material.

Career Highlights

The simulator brings together anatomical modeling and visually differentiated artificial tissue to create a practice environment for transoral robotic surgery. Its design focuses on representing structures and tissue that users may encounter during surgical training.

Collaborations

Murr’s listed coworkers include Trevor Hackman and Richard Harry Feins. His institutional affiliation is the University of North Carolina at Chapel Hill.

Conclusion

Alex Murr’s patented transoral robotic simulator combines a modeled oral cavity, simulated anatomy, and identifiable artificial tissue to support surgical practice and training.

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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