Riverside, IL, United States of America

Renae Lin Smith-Ray

This inventor holds 1 USPTO granted patent. Top assignee: Walgreen Company. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Renae Lin Smith-Ray: Innovator in Machine Learning for Respiratory Health

Introduction

Renae Lin Smith-Ray is a pioneering inventor based in Riverside, IL (US). She has made significant contributions to the field of healthcare technology, particularly in using machine learning to enhance patient care for respiratory conditions. Her innovative approach aims to predict patient risks and improve intervention strategies.

Latest Patents

Renae holds a patent for her work titled "Using machine learning to predict patient risk associated with respiratory conditions." This patent outlines systems and methods for utilizing machine learning models to assess risks faced by patients with various respiratory issues. The electronic device described in her patent generates a machine learning model using training data that includes patient and medication information. By accessing real-world patient data, the device can input this information into the model, which then outputs the likelihood of patients needing intervention care. This technology facilitates targeted outreach efforts to patients, ultimately aiming to reduce the need for urgent care.

Career Highlights

Renae is currently employed at Walgreen Company, where she continues to develop innovative solutions in healthcare. Her work is instrumental in bridging the gap between technology and patient care, making a significant impact on how respiratory conditions are managed.

Collaborations

Renae collaborates with talented coworkers, including Tanya Grace Singh and Alexandra Broadus. Together, they work towards advancing healthcare technologies and improving patient outcomes.

Conclusion

Renae Lin Smith-Ray exemplifies the role of innovation in healthcare through her groundbreaking work in machine learning. Her contributions are paving the way for improved patient care and intervention strategies in respiratory health.

Profile summary based on public USPTO records.
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