San Diego, CA, United States of America

Hossein Tabriziani

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hossein Tabriziani. Retrieved from https://idiyas.com/inventor/hossein-tabriziani

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hossein Tabriziani and Transplant Rejection Detection.

Introduction

Hossein Tabriziani is an inventor based in San Diego, California, and is associated with Natera, Inc. His patent work addresses methods for assessing transplant rejection through analysis of biological samples.

Latest Patents

Tabriziani is named on 1 patent, titled “Methods for Determination of Transplant Rejection.” The disclosed methods measure the amount of torque teno virus (TTV) and donor-derived cell-free DNA in a transplant recipient’s blood, plasma, serum, or urine. The results are used to assess whether donor-derived cell-free DNA exceeds a threshold associated with rejection and whether the TTV level indicates a change in immune response.

Career Highlights

His listed invention focuses on combining measurements of donor-derived cell-free DNA and TTV to support the determination of transplant rejection and immune response.

Collaborations

The provided information lists Paul Van Hummelen and Jessica Tang as Tabriziani’s coworkers.

Conclusion

Hossein Tabriziani’s patent describes a sample-analysis approach that combines donor-derived cell-free DNA and TTV measurements to help assess transplant rejection and immune response.

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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