Cambridge, MA, United States of America

Robbert Christiaan Van Ommering

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Hapert, NL (2015 - 2017)
  • Cambridge, MA (US) (2021 - 2024)

Company Filing History:


Years Active: 2015-2024

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5 patents (USPTO):Explore Patents

Title: Robbert Christiaan Van Ommering: Innovator in Medical Text Processing

Introduction

Robbert Christiaan Van Ommering is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of medical text processing, holding a total of 5 patents. His work focuses on developing methods and systems that enhance the understanding and processing of medical language.

Latest Patents

Among his latest patents is a groundbreaking invention titled "Identifying Anatomical Phrases." This patent describes methods and systems for identifying anatomical phrases in medical text using a syntactic approach. The system generates lists of relevant terms and defines a grammar on these terms, subsequently searching for phrases in text that conform to the established grammar. Another significant patent is the "Method and System for Normalization of Gene Names in Medical Text." This method standardizes gene nomenclature through a series of steps, including tokenization of the source and comparison to a prefix tree structure, ultimately providing an identification of a canonical gene name.

Career Highlights

Robbert is currently employed at Koninklijke Philips Corporation N.V., where he continues to innovate in the realm of medical technology. His work has been instrumental in advancing the capabilities of medical text processing, making it easier for healthcare professionals to interpret complex medical information.

Collaborations

He has collaborated with notable colleagues such as Ingwer-Curt Carlsen and Sebastian Peter Michael Dries, contributing to a dynamic and innovative work environment.

Conclusion

Robbert Christiaan Van Ommering's contributions to medical text processing through his patents and collaborations highlight his role as a key innovator in the field. His work continues to impact the way medical information is processed and understood.

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