Rolling Hills Estates, CA, United States of America

Darryl Shibata

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2014-2025

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2 patents (USPTO):

Title: The Innovative Contributions of Darryl Shibata

Introduction

Darryl Shibata is a prominent inventor based in Rolling Hills Estates, California. He has made significant strides in the field of histopathology and micro-isolation technologies. With two patents to his name, Shibata's work is paving the way for advancements in cancer medicine and cellular analysis.

Latest Patents

Shibata's latest patents include groundbreaking work in histopathology classification through machine self-learning of 'tissue fingerprints.' This innovative approach aims to improve cancer medicine by utilizing machine learning to classify pathology specimens. The algorithm he developed can match hematoxylin and eosin stained tissues to individual patients with an impressive accuracy of 93%. Additionally, he has created methods and devices for micro-isolation, extraction, and analysis of microscale components. This micro-isolation apparatus is designed to protect biological cellular material from DNA-destroying illumination, enabling precise biochemical analysis.

Career Highlights

Throughout his career, Shibata has worked with esteemed institutions such as the University of Southern California and the California Institute of Technology. His contributions to the field have been recognized for their potential to enhance clinical decision-making in patient management.

Collaborations

Some of Shibata's notable coworkers include David B Agus and Daniel Lee Ruderman. Their collaborative efforts have further advanced the research and development of innovative technologies in the medical field.

Conclusion

Darryl Shibata's work exemplifies the intersection of technology and medicine, showcasing how innovations can lead to improved patient outcomes. His patents reflect a commitment to advancing the field of histopathology and cellular analysis.

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