Salt Lake City, UT, United States of America

Kate Mariel Broadbent

This inventor holds 1 USPTO granted patent and 4 published patent applications and 1 EPO patent. Top assignee: Biofire Diagnostics, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kate Mariel Broadbent. Retrieved from https://idiyas.com/inventor/kate-mariel-broadbent

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 = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kate Mariel Broadbent - Innovator in Biological Diagnostics

Introduction

Kate Mariel Broadbent is an accomplished inventor based in Salt Lake City, UT (US). She currently works at Biofire Diagnostics, LLC, where she contributes to advancements in biological diagnostics. Despite having no granted patents to her name, her work is significant in the field of machine learning and metagenomics.

Latest Patent Applications

Kate's latest patent applications include:

1. **Machine Learning-Based Prediction of Biological Constituents in a Sample** - This application describes methods and systems that involve training a machine learning model to detect biological constituents in a sample. The process includes collecting metagenomic data, generating molecular data sets, and training the model to predict biological constituents from the data.

2. **Inferring Microorganism of Origin for Antimicrobial Resistance Markers in Targeted Metagenomics** - This application outlines systems and methods for identifying the host of an antimicrobial resistance (AMR) marker from samples. It involves obtaining short-read sequence data, identifying AMR markers, and comparing metrics to identify the host of the markers.

Conclusion

Kate Mariel Broadbent is a notable figure in the field of biological diagnostics, with innovative applications that leverage machine learning and metagenomics. Her contributions are paving the way for future advancements in the industry.

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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