Beijing, China

Chenyin Shen

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 1.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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4 patents (USPTO):Explore Patents

Title: Chenyin Shen: Innovator in Drug-Disease Relevance Analysis

Introduction

Chenyin Shen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of drug-disease relevance analysis, holding a total of 4 patents. His work focuses on developing methods and devices that enhance the understanding of the relationships between drugs and diseases.

Latest Patents

Chenyin Shen's latest patents include innovative methods for processing drug-disease relevance relations. One of his notable patents describes a method that involves receiving drug information and analyzing it alongside various disease information. This process identifies diseases that have a relevance relation with specific drugs, including therapeutic and side-effect relations. Another patent outlines a terminal designed for analyzing drug-disease relevance relations, which includes a transceiver and a processor. This terminal is capable of receiving drug information, disease information, and drug-disease relevance relation information, allowing for the construction of a pharmacodynamic relation model.

Career Highlights

Chenyin Shen is currently employed at Boe Technology Group Co., Ltd., where he continues to push the boundaries of innovation in his field. His work has garnered attention for its potential to improve drug development and patient outcomes.

Collaborations

Chenyin has collaborated with notable colleagues, including Zhenzhong Zhang and Hui Li, who share his commitment to advancing research in drug-disease relevance.

Conclusion

Chenyin Shen's contributions to the field of drug-disease relevance analysis exemplify the impact of innovative thinking in healthcare. His patents and ongoing work at Boe Technology Group Co., Ltd. highlight the importance of understanding the complex relationships between drugs and diseases.

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