Whippany, NJ, United States of America

Kevin Curran


 

Average Co-Inventor Count = 1.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Whippany, NJ (US) (2020)
  • Wayne, NJ (US) (2023 - 2024)

Company Filing History:


Years Active: 2020-2024

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4 patents (USPTO):Explore Patents

Title: Innovations by Kevin Curran in Diabetes Management

Introduction

Kevin Curran is an accomplished inventor based in Whippany, NJ, with a focus on innovations in diabetes management systems. He holds a total of four patents that contribute significantly to the field of healthcare technology. His work aims to enhance the accuracy and efficiency of diabetes management, ultimately improving patient outcomes.

Latest Patents

Among his latest patents is a system designed to reduce the impact of user-entered data errors in diabetes management systems. This invention includes methods and apparatus for storing user-entered data in a primary database, alongside secondary data from external sources. The system cross-checks this data to evaluate and present it for review, allowing for a more accurate diabetes management plan. Another notable patent is an analyte meter, which is a portable data-management system that wirelessly communicates with a mobile device. This device assists users in managing and analyzing their health data, identifying patterns, and issuing warnings based on collected information.

Career Highlights

Kevin Curran is currently employed at Ascensia Diabetes Care Holdings AG, where he continues to innovate in the field of diabetes care. His contributions have been instrumental in developing technologies that support users in managing their health more effectively.

Collaborations

Some of his notable coworkers include Jun Chen and Harris Lieber, who collaborate with him on various projects aimed at advancing diabetes management technologies.

Conclusion

Kevin Curran's work in diabetes management showcases his commitment to improving healthcare through innovative technology. His patents reflect a deep understanding of user needs and the importance of accurate data in managing chronic conditions.

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