San Francisco, CA, United States of America

Travis Swientek

This inventor holds 1 USPTO granted patent. Top assignee: Doctor on Demand, Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Travis Swientek. Retrieved from https://idiyas.com/inventor/travis-swientek

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Travis Swientek

Introduction

Travis Swientek is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of medical technology through his innovative patent. His work focuses on utilizing machine learning techniques to enhance medical interventions.

Latest Patents

Travis holds a patent for a "Decision engine based on disparate data sources." This invention provides systems and methods for medical intervention using machine learning techniques. The process involves receiving data associated with a medical condition from a user. Based on this data, a patient profile is retrieved from a database. An intervention is then determined for the medical condition, utilizing a machine learning model that recommends appropriate interventions. The intervention is sent to a user device associated with the user, and changes in health metrics are monitored. The machine learning models are re-trained based on these monitored changes and the intervention.

Career Highlights

Travis is currently employed at Doctor on Demand, Inc., where he applies his expertise in medical technology. His innovative approach has the potential to revolutionize how medical interventions are determined and executed.

Collaborations

Some of his notable coworkers include Todd Kusterer and Kent Griffin, who contribute to the collaborative environment at Doctor on Demand, Inc.

Conclusion

Travis Swientek's work exemplifies the intersection of technology and healthcare, showcasing how machine learning can improve medical interventions. 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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