Leipheim, Germany

Tobias Paust

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Siemens Healthineers Ag. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tobias Paust. Retrieved from https://idiyas.com/inventor/tobias-paust

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Tobias Paust in Tissue Type Determination

Introduction

Tobias Paust is an accomplished inventor based in Leipheim, Germany. He has made significant contributions to the field of medical technology, particularly in the area of tissue type determination. His innovative approach utilizes advanced methods to enhance the accuracy of tissue analysis.

Latest Patents

Tobias Paust holds a patent for a method that determines the tissue type of a tissue sample from an animal or human individual. The invention involves sensing electromagnetic radiation emitted by the tissue sample using a radiation sensor. The sensor provides a signal that is evaluated by a self-learning evaluation unit. This unit is trained with data sets based on machine learning methods, allowing for improved determination of tissue types.

Career Highlights

Throughout his career, Tobias Paust has worked with notable companies in the healthcare sector, including Siemens Healthineers AG and Siemens Healthcare GmbH. His experience in these organizations has contributed to his expertise in medical technology and innovation.

Collaborations

Tobias has collaborated with esteemed colleagues such as Thomas Engel and Alexander Michael Gigler. These partnerships have further enriched his work and expanded the impact of his inventions.

Conclusion

Tobias Paust's innovative methods in tissue type determination exemplify the advancements in medical technology. His contributions continue to influence the field and improve diagnostic processes.

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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