Seattle, WA, United States of America

Tj Brunette

This inventor holds 1 USPTO granted patent and 7 published patent applications. Top assignee: Opennano Pte. Ltd.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tj Brunette. Retrieved from https://idiyas.com/inventor/tj-brunette

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Tj Brunette: Innovator in Machine Learning and Patient Data Analysis

Introduction

Tj Brunette is a notable inventor based in Seattle, WA, who has made significant contributions to the field of machine learning and healthcare. His innovative approach focuses on deriving phenotypic patient data from economic data, which has the potential to revolutionize treatment outcomes and clinical studies.

Latest Patents

Tj Brunette holds a patent titled "Phenotypic patient data derivation from economic data." This patent discloses the application of deep machine learning controllers to create models that predict treatment outcomes and compound efficacy. The systems and methods outlined in the patent are useful for suggesting treatment plans, conducting clinical studies, and performing phenotypical correlation studies in conjunction with medical records and economic data sets.

Career Highlights

Tj Brunette is currently employed at Opennano Pte. Ltd., where he continues to develop innovative solutions that bridge the gap between economic data and healthcare outcomes. His work is instrumental in advancing the use of machine learning in medical applications.

Collaborations

Tj collaborates with talented individuals such as Vadim Pinskiy and Ashwin Gopinath, who contribute to the innovative environment at Opennano Pte. Ltd. Their combined expertise fosters a culture of creativity and problem-solving.

Conclusion

Tj Brunette's work exemplifies the intersection of technology and healthcare, showcasing how machine learning can enhance patient care and treatment efficacy. His contributions are paving the way for future innovations in the medical field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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