Bucheon-si, South Korea

Yun Su Lee


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Innovations of Yun Su Lee in Medical Research

Introduction

Yun Su Lee is a notable inventor based in Bucheon-si, South Korea. He has made significant contributions to the field of medical research, particularly in the area of patient-derived xenograft models. With a total of two patents to his name, his work focuses on improving the accuracy and efficiency of genetic contamination detection.

Latest Patents

Yun Su Lee's latest patents include a method for determining cross-contamination of mouse genes in human cells within patient-derived xenograft models. This invention relates to a detection kit designed to confirm cross-contamination that may occur during the banking process of these models. The kit boasts high detection sensitivity and specificity, approaching 100%. It allows for rapid examination of contamination, which is crucial for predicting mouse contamination in medical research. His second patent also addresses the same issue, emphasizing the importance of accurately detecting cross-contamination to enhance the evaluation of anticancer drug efficacy.

Career Highlights

Yun Su Lee is currently associated with Abion Inc., where he continues to innovate in the medical field. His work has been instrumental in advancing methodologies that contribute to the reliability of patient-derived xenograft models. His inventions are expected to have a lasting impact on the medical industry, particularly in cancer research.

Collaborations

Yun Su Lee collaborates with Yoon La Choi, further enhancing the research and development efforts at Abion Inc. Their combined expertise is aimed at pushing the boundaries of medical research and improving patient outcomes.

Conclusion

Yun Su Lee's contributions to the field of medical research through his innovative patents demonstrate his commitment to improving the accuracy of genetic testing in patient-derived xenograft models. His work is poised to make a significant impact in the medical industry.

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