Seoul, South Korea

Hyun Jin Bae

This inventor holds 1 USPTO granted patent. Top assignee: Promedius Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyun Jin Bae. Retrieved from https://idiyas.com/inventor/hyun-jin-bae-1yytat28

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

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% Patents Active = 100.0

Average Co-Inventor Count = 2.0

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Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Hyun Jin Bae - Innovator in Medical Data Analysis

Introduction

Hyun Jin Bae is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of medical data analysis through his innovative approaches. His work focuses on utilizing advanced machine learning techniques to enhance the accuracy and efficiency of medical data interpretation.

Latest Patents

Hyun Jin Bae holds a patent for an "Apparatus and method for unsupervised learning-based medical data analysis." This patent describes a system that employs an adversarial generative neural network to detect and notify anomalies in medical data. The technology aims to facilitate accurate and rapid readings, ultimately saving time and costs associated with traditional data analysis methods. He has 1 patent to his name.

Career Highlights

Hyun Jin Bae is currently associated with Promedius Inc., where he continues to develop innovative solutions in the medical field. His expertise in machine learning and data analysis has positioned him as a valuable asset in his organization.

Collaborations

Hyun Jin Bae collaborates with Jae Yeong Ko, contributing to advancements in their shared field of expertise.

Conclusion

Hyun Jin Bae's work in unsupervised learning-based medical data analysis exemplifies the potential of machine learning in healthcare. His contributions are paving the way for more efficient and accurate medical data interpretation.

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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