San Diego, CA, United States of America

Joshua Michael Stanley

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Turlock, CA (US) (2022)
  • San Diego, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Innovations by Joshua Michael Stanley

Introduction

Joshua Michael Stanley is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of clinical trials through his innovative approaches. With a total of three patents to his name, Stanley is recognized for his expertise in machine learning applications within the healthcare sector.

Latest Patents

One of Stanley's latest patents focuses on intelligent planning, execution, and reporting of clinical trials. This invention introduces machine learning-based methods that incorporate a patient burden index. The method involves parsing a protocol for a clinical trial and providing factor data for each patient. Subsequently, a patient burden index is calculated for each patient based on the parsed protocol and the provided factor data. This innovative approach aims to enhance the efficiency and effectiveness of clinical trials.

Career Highlights

Throughout his career, Joshua Michael Stanley has worked with notable companies such as Trials.ai, Inc. and ZS Associates, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in clinical trial methodologies.

Collaborations

Some of Stanley's notable coworkers include Kim Marie Walpole and Michael Joseph Nicoletti. Their collaboration has likely played a role in the development of his innovative patents and contributions to the field.

Conclusion

Joshua Michael Stanley's work in the realm of clinical trials showcases his commitment to innovation and improvement in healthcare practices. His patents reflect a deep understanding of machine learning and its application in real-world scenarios. His contributions are paving the way for more efficient clinical trial processes.

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