Langenfeld, Germany

Stefan Müllner

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2015-2018

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4 patents (USPTO):Explore Patents

Title: The Innovations of Stefan Müllner

Introduction

Stefan Müllner is a notable inventor based in Langenfeld, Germany. He has made significant contributions to the field of diagnostics, particularly in the development of methods for identifying high-affinity binders and diagnosing neuromyelitis optica. With a total of 4 patents to his name, Müllner's work has the potential to impact medical diagnostics significantly.

Latest Patents

Müllner's latest patents include a method for diagnosing high-affinity binders and marker sequences. This invention focuses on a novel approach to diagnosing antibodies or autoantibodies, along with the identification and characterization of marker sequences for diagnostic use. The method also introduces a singleplex assay that utilizes a panel of selected marker sequences to detect high-affinity binders through a single signal. Another significant patent is a method for the diagnosis and risk stratification of neuromyelitis optica (NMO). This invention employs artificial aquaporin-4 peptides to determine the condition from a body sample of a patient. Additionally, it includes a kit and new artificial aquaporin-4 peptides.

Career Highlights

Throughout his career, Stefan Müllner has worked with various companies, including Protagen AG and Algiax Pharmaceuticals GmbH. His experience in these organizations has contributed to his expertise in the field of diagnostics and innovation.

Collaborations

Müllner has collaborated with notable colleagues such as Heike Göhler and Petra Rengers. These partnerships have likely enhanced his research and development efforts in the medical diagnostics arena.

Conclusion

Stefan Müllner's contributions to the field of diagnostics through his innovative patents demonstrate his commitment to advancing medical science. His work has the potential to improve diagnostic methods and patient outcomes significantly.

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