Mountain View, CA, United States of America

Paul Gamble

This inventor holds 1 USPTO granted patent. Top assignee: Verily Health Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Gamble. Retrieved from https://idiyas.com/inventor/paul-gamble-1ou3pv2c

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Paul Gamble: Innovator in Digital Pathology

Introduction

Paul Gamble is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of digital pathology through his innovative work in machine learning applications for biomarker detection.

Latest Patents

Gamble holds a patent for a system and method that receives image patches and determines tissue sample biomarker status in digitized pathology samples using a trained machine learning model. This patent outlines a method for biomarker detection that includes receiving multiple image patches from a pathology slide with a hematoxylin and eosin-stained sample. Each patch represents a different portion of the image. The method involves determining a patch biomarker status using a first trained machine learning model and subsequently determining a tissue sample biomarker status based on these patch statuses.

Career Highlights

Paul Gamble is currently associated with Verily Health Inc., where he applies his expertise in machine learning to enhance digital pathology processes. His work is pivotal in advancing the accuracy and efficiency of biomarker detection in medical diagnostics.

Collaborations

Gamble collaborates with esteemed colleagues such as Craig Mermel and Po-Hsuan Chen, contributing to a dynamic research environment focused on innovative healthcare solutions.

Conclusion

Paul Gamble's contributions to digital pathology and machine learning exemplify the impact of innovation in healthcare. His work continues to pave the way for advancements in medical diagnostics and patient care.

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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