Palo Alto, CA, United States of America

Smadar Shiffman

This inventor holds 1 USPTO granted patent. Top assignee: Ventana Medical Systems, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Smadar Shiffman. Retrieved from https://idiyas.com/inventor/smadar-shiffman-0vfqea0u

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


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: Smadar Shiffman: Inventor in Computational Pathology

Introduction

Smadar Shiffman is an inventor based in Palo Alto, California. Her patent work addresses the use of machine learning to identify autofluorescent artifacts in multiplexed immunofluorescent images, supporting more reliable analysis of tissue specimens.

Latest Patents

Shiffman is associated with 1 patent: “Identifying Auto-Fluorescent Artifacts in a Multiplexed Immunofluorescent Image.” The disclosed approach processes an image of a specimen slice with a machine-learning model to predict where autofluorescent artifacts occur. Subsequent image processing is then adjusted based on that prediction, and the resulting analysis provides a predicted characterization of the specimen.

Career Highlights

Shiffman is associated with Ventana Medical Systems, Inc. Her patent reflects work at the intersection of machine learning, image processing, and tissue analysis.

Collaborations

Her listed coworkers include Auranuch Lorsakul and Trung Kien Nguyen. Their shared professional context connects their work with medical imaging and diagnostic technologies.

Conclusion

Smadar Shiffman’s patent focuses on using machine learning to detect image artifacts and improve the processing of multiplexed immunofluorescent images.

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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