Beacon, NY, United States of America

Danielle Gorton

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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4 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Danielle Gorton

Introduction

Danielle Gorton is a prominent inventor based in Beacon, NY (US). She has made significant strides in the field of digital pathology, holding a total of 4 patents. Her work focuses on developing systems and methods that enhance the processing of electronic images, particularly in medical applications.

Latest Patents

Danielle's latest patents include innovative methods for processing electronic images to identify attributes. One of her notable inventions is a computer-implemented method that identifies attributes of electronic medical images associated with pathology specimens. This method involves receiving electronic medical images, determining salient regions within these images, and automatically panning across these regions for display. Another significant patent is a method that utilizes a machine learning model to categorize samples in digital pathology. This invention includes processes for identifying cases ready for review, determining the status of parts within a case, and generating reports based on suspicious slides.

Career Highlights

Danielle Gorton is currently employed at Paige.ai, Inc., where she continues to push the boundaries of technology in the medical field. Her contributions have been instrumental in advancing digital pathology workflows, making it easier for medical professionals to analyze and interpret pathology specimens.

Collaborations

Danielle collaborates with talented individuals such as Patricia Raciti and Jillian Sue, who contribute to her innovative projects and research efforts.

Conclusion

Danielle Gorton exemplifies the spirit of innovation in the field of digital pathology. Her patents and ongoing work at Paige.ai, Inc. highlight her commitment to improving medical imaging technologies.

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