Seoul, South Korea

Oh Ran Kwon


 

Average Co-Inventor Count = 5.1

ph-index = 1


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Innovations by Oh Ran Kwon

Introduction

Oh Ran Kwon is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of life sciences, particularly in the development of diagnostic methods and computing devices. With a total of two patents to his name, Kwon's work reflects a commitment to advancing technology in healthcare.

Latest Patents

Kwon's latest patents include a "Two-class classification method for predicting class to which specific item belongs, and computing device using same." This invention estimates an unknown parameter of a model formula when distributed sample data is acquired. The device utilizes a random forest model to estimate a function, enabling the classification of specific items based on calculated values.

Another significant patent is the "Method for using information on complex biomarker group to diagnose lung cancer in a subject and diagnostic kit and computing system using the same." This method involves diagnosing lung cancer by using a complex biomarker group, which includes CEA, HE4, ApoA2, TTR, sVCAM-1, and RANTES. The computing system acquires expression level data from individual biomarkers and determines the presence of lung cancer in the subject.

Career Highlights

Kwon is currently associated with Bioinfra Life Science Inc., where he continues to innovate in the field of life sciences. His work has the potential to significantly impact cancer diagnostics and predictive modeling.

Collaborations

Kwon has collaborated with notable colleagues, including Chul Woo Kim and Yong Dai Kim. Their combined expertise contributes to the advancement of their projects and innovations.

Conclusion

Oh Ran Kwon's contributions to the field of life sciences through his patents demonstrate his innovative spirit and dedication to improving healthcare technology. His work continues to pave the way for advancements in diagnostic methods and predictive analytics.

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