This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Grail, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations by Inventor Ling Shen
Introduction
Ling Shen is an accomplished inventor based in Redwood City, CA. He has made significant contributions to the field of biotechnology, particularly in the area of analyzing cfDNA read information. His innovative work has led to the development of a unique patent that addresses the challenges of identifying false positive variants.
Latest Patents
Ling Shen holds a patent titled "Identifying false positive variants using a significance model." This patent describes a system and method for applying a noise model to predict the occurrence and level of noise present in cfDNA read information. The significance model is trained using various stratifications of called variants, which include partition and mutation type. By predicting the likelihood of observing a read frequency for a called variant, the model enhances the accuracy of identifying false positives.
Career Highlights
Ling Shen is currently employed at Grail, Inc., where he continues to push the boundaries of innovation in his field. His work is instrumental in advancing the understanding of cfDNA analysis, which has significant implications for cancer detection and personalized medicine.
Collaborations
Ling collaborates with talented individuals such as Catalin Barbacioru and Qinwen Liu, who contribute to the innovative environment at Grail, Inc. Their combined expertise fosters a culture of creativity and problem-solving.
Conclusion
Ling Shen's contributions to the field of biotechnology through his patent and work at Grail, Inc. exemplify the impact of innovation in improving diagnostic methods. His efforts in developing a significance model for cfDNA analysis are paving the way for advancements in medical technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
