Arlington, MA, United States of America

Mei Xu

This inventor holds 1 USPTO granted patent. Top assignee: Novartis Ag. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mei Xu. Retrieved from https://idiyas.com/inventor/mei-xu-hif4m2v4

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Mei Xu - Innovator in Antibody Development

Introduction

Mei Xu is a prominent inventor based in Arlington, MA (US). She has made significant contributions to the field of biotechnology, particularly in the development of monoclonal antibodies. Her work focuses on innovative solutions for medical treatments.

Latest Patents

Mei Xu holds a patent for "Antibodies against growth differentiation factor 15 and uses thereof." This patent includes monoclonal antibodies that bind to the human Growth Differentiation Factor 15 protein, also known as GDF15. The patent outlines pharmaceutical compositions and methods of treatment that utilize these antibodies.

Career Highlights

Mei Xu is currently associated with Novartis AG, a leading global healthcare company. Her role involves research and development in the field of antibody therapies, contributing to advancements in medical science.

Collaborations

Throughout her career, Mei Xu has collaborated with notable colleagues, including Hong M Chen and Rajiv Chopra. These partnerships have enhanced her research and expanded the impact of her innovations.

Conclusion

Mei Xu's work in antibody development exemplifies the importance of innovation in biotechnology. Her contributions continue to pave the way for new treatments and therapies in the medical field.

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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