For the Inventor, By the Inventor

Enter assignee name

New York, NY, United States of America

Paige.ai, Inc.

USPTO Granted Patents = 122

EPO Patents = 10

Trademarks = 5

Forward Citations = 112

Loading Chart...

Loading Chart...

45 inventors (with patents filed for the assignee):

Christopher Kanan (94 out of 94 patents)

Leo John Grady (60 out of 313 patents)

Thomas Fuchs (48 out of 88 patents)

4. Patricia Raciti (32 out of 32 patents)

5. Jillian Sue (28 out of 28 patents)

6. Belma Dogdas (26 out of 29 patents)

7. Rodrigo Ceballos Lentini (19 out of 19 patents)

8. Razik Yousfi (19 out of 28 patents)

9. Alican Bozkurt (12 out of 12 patents)

10. Ran Godrich (11 out of 11 patents)

11. Brandon Rothrock (11 out of 11 patents)

12. Thomas Fresneau (9 out of 9 patents)

13. Peter Schueffler (9 out of 11 patents)

14. Supriya Kapur (9 out of 9 patents)

15. Jorge Sergio Reis-Filho (8 out of 8 patents)

Core Competencies:

Image Processing

Biomarker Detection

Quality Control

Digital Pathology

Health Monitoring

Semantic Analysis

Synthetic Image Generation

Contamination Detection

Tissue Map Visualization

Diagnostic Tests

Radiation Therapy

Continuous Biomarker Prediction

122 patents: Sort by Forward Citations

1. 12749566 - Systems and methods for processing electronic images (2026-09-29),

2. 12744115 - Systems and methods for processing electronic images with metadata integration (2026-09-22),

3. 12711617 - SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES FOR HISTOLOGICAL MORPHOLOGY TRAJECTORY PREDICTION (2026-08-18),

4. 12688578 - Systems and methods to process electronic images to categorize intra-slide specimen tissue type (2026-07-21),

5. 12675861 - Systems and methods for processing electronic images to identify transplant donor-recipient matches (2026-07-07),

6. 12664731 - Systems and methods for processing whole slide images using machine-learning (2026-06-23),

7. 12664644 - Systems and methods for processing electronic images to visualize combinations of semantic pathology features (2026-06-23),

8. 12657881 - Systems and methods for processing electronic images for auto-labeling for computational pathology (2026-06-16),

9. 12657721 - Systems and methods for analyzing electronic images for quality control (2026-06-16),

10. 12657706 - Systems and methods to process electronic images for continuous biomarker prediction (2026-06-16),

11. 12639808 - Systems and methods for processing electronic medical images to optimize a review order of pathology cases (2026-05-26),

12. 12626365 - Systems and methods to process electronic images to selectively hide structures and artifacts for digital pathology image review (2026-05-12),

13. 12614630 - Systems and methods for processing electronic images for health monitoring and forecasting (2026-04-28),

14. 12614378 - Systems and methods to process electronic images to determine histopathology quality (2026-04-28),

15. 12607843 - Systems and methods for processing electronic images of pathology data and reviewing the pathology data (2026-04-21),

Paige.ai, Inc. is a pioneering company based in New York, specializing in digital pathology solutions that enhance the accuracy and efficiency of cancer diagnostics. The organization leverages advanced technologies in image processing and semantic analysis to develop tools for biomarker detection and quality control in pathology workflows. Their innovative approach includes synthetic image generation and contamination detection, aiming to improve health monitoring and patient outcomes through cutting-edge digital solutions.

Profile summary based on public USPTO records.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

122 Patents

#97 in New York, NY

#198 in New York

#3,173 in US

#6,557 in the World

New York, NY, United States of America

Paige.ai, Inc.

Forward Citations = 112

45 inventors:

Christopher Kanan (94 out of 94 patents)

Leo John Grady (60 out of 313 patents)

Thomas Fuchs (48 out of 88 patents)

4. Patricia Raciti (32 out of 32 patents)

5. Jillian Sue (28 out of 28 patents)

Please report any incorrect information to [email protected]

Loading…