Beijing, China

Chunfeng Qu

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations in Liver Cancer Screening by Chunfeng Qu

Introduction

Chunfeng Qu is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of medical technology, particularly in the early detection of liver cancer. With a total of 2 patents, his work focuses on innovative methods for screening and analyzing liver cancer mutations.

Latest Patents

Chunfeng Qu's latest patents include a kit for early screening of liver cell cancer and a method for ctDNA library construction and sequencing data analysis. The first patent provides a comprehensive kit that includes gene and protein marker detection reagents, which have shown effectiveness in early screening of hepatocellular carcinoma (HCC) in community populations. The second patent outlines a method for constructing ctDNA libraries that allows for the simultaneous detection of multiple common mutations in liver cancer. This method offers several advantages, including the ability to efficiently capture ultra-small target regions and support multiple tests, enhancing the specificity of mutation detection.

Career Highlights

Chunfeng Qu has worked with notable organizations such as the Chinese Academy of Medical Sciences and Genetron Health Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative approaches to liver cancer detection.

Collaborations

Chunfeng has collaborated with talented individuals in his field, including Yuchen Jiao and Pei Wang. Their combined expertise has contributed to the advancement of research and technology in liver cancer screening.

Conclusion

Chunfeng Qu's innovative work in liver cancer detection exemplifies the importance of research and development in medical technology. His patents not only enhance early screening methods but also pave the way for improved patient outcomes in liver cancer diagnosis.

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