San Diego, CA, United States of America

Kazanna Calais Hames

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Kazanna Calais Hames: Innovator in Health Technology

Introduction

Kazanna Calais Hames is a prominent inventor based in San Diego, CA (US). She has made significant contributions to health technology, particularly in the areas of diabetes prediction and lifestyle management. With a total of 2 patents, her work focuses on utilizing data analysis and machine learning to enhance user health outcomes.

Latest Patents

Hames' latest patents include "Evaluation of data to provide decision support for a ketogenic lifestyle" and "Diabetes prediction using glucose measurements and machine learning." The first patent outlines techniques for data analysis and user guidance, where current measurements of analyte levels are received from a sensor. A pattern is generated based on these measurements, leading to a first alignment with user targets related to mental or physical states. The second patent describes a machine learning model trained on historical glucose measurements to predict diabetes classifications for individual users. This model utilizes data from wearable glucose monitoring devices to provide timely notifications and user interfaces based on the predicted classifications.

Career Highlights

Kazanna is currently employed at Dexcom, Inc., a company known for its innovative glucose monitoring solutions. Her role involves leveraging her expertise in data analysis and machine learning to develop cutting-edge health technologies.

Collaborations

Throughout her career, Hames has collaborated with notable colleagues, including David Price and Spencer Frank. These partnerships have contributed to her success in the field of health technology.

Conclusion

Kazanna Calais Hames is a trailblazer in health technology, with her innovative patents paving the way for advancements in diabetes management and lifestyle support. Her work exemplifies the impact of data-driven solutions in improving health outcomes for users.

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