For the Inventor, By the Inventor

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Culver City, CA, United States of America

Nanthealth, Inc.

Calculating rank

USPTO Granted Patents = 44

EPO Patents = 2

Trademarks = 6

Forward Citations = 1,228

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27 inventors (with patents filed for the assignee):

Patrick Soon-Shiong (16 out of 477 patents)

Ravi Seshadri (12 out of 14 patents)

David Dyell (11 out of 20 patents)

4. Christopher Rogowski (11 out of 20 patents)

5. Scott Kahler (11 out of 20 patents)

6. Jennifer Milan (11 out of 20 patents)

7. Nicholas James Witchey (11 out of 160 patents)

8. Harsh Kupwade-Patil (9 out of 10 patents)

9. Mustafa Jaber (8 out of 22 patents)

10. Liudmila A Beziaeva (8 out of 11 patents)

11. Bing Song (7 out of 79 patents)

12. Stephen Charles Benz (7 out of 57 patents)

13. Christopher W Szeto (6 out of 14 patents)

14. Shahrooz Rabizadeh (4 out of 86 patents)

15. Rahul Chaturvedi (4 out of 19 patents)

Core Competencies:

Blockchain

Natural Language Processing

Deep Learning

Homomorphic Encryption

Patient Sensors

Medical Records

Real-Time Monitoring

Synthetic Genomics

Classification Analysis

Automated Diagnosis

Alarm Fatigue Management

44 patents: Sort by Forward Citations

1. 12749126 - User interface log validation via blockchain system and methods (2026-09-29),

2. 12567273 - Training natural language processing models using modified cross entropy loss functions (2026-03-03),

3. 12423653 - Patient sensor data exchange systems and methods (2025-09-23),

4. 12224066 - Deep learning models for region of interest determination (2025-02-11),

5. 12224064 - Deep learning models for tumor evaluation (2025-02-11),

6. 12205033 - Weakly supervised learning with whole slide images (2025-01-21),

7. 12170142 - Classification based on characterization analysis methods and systems (2024-12-17),

8. 12126601 - Homomorphic encryption in a healthcare network environment, system and methods (2024-10-22),

9. 12106381 - User interface log validation via blockchain system and methods (2024-10-01),

10. 12052240 - Synthetic genomic variant-based secure transaction devices, systems and methods (2024-07-30),

11. 11954596 - Weakly supervised learning with whole slide images (2024-04-09),

12. 11948687 - Deep learning models for region-of-interest determination (2024-04-02),

13. 11936632 - Homomorphic encryption in a healthcare network environment, system and methods (2024-03-19),

14. 11915198 - Patient sensor data exchange systems and methods (2024-02-27),

15. 11785004 - Synthetic genomic variant-based secure transaction devices, systems and methods (2023-10-10),

Company Overview

NantHealth, Inc. is a technology-driven healthcare company based in Culver City, California, specializing in the integration of advanced data analytics and artificial intelligence to enhance patient care. The organization focuses on the exchange of patient sensor data and employs deep learning models for tumor evaluation and medical record management. Its innovative approaches include weakly supervised learning and homomorphic encryption, alongside blockchain validation for secure data transactions, aiming to transform the landscape of personalized medicine.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

44 Patents

#11 in Culver City, CA

#1,866 in California

#7,963 in US

#15,771 in the World

Culver City, CA, United States of America

Nanthealth, Inc.

Forward Citations = 1,228

27 inventors:

Patrick Soon-Shiong (16 out of 477 patents)

Ravi Seshadri (12 out of 14 patents)

David Dyell (11 out of 20 patents)

4. Christopher Rogowski (11 out of 20 patents)

5. Scott Kahler (11 out of 20 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Nanthealth, Inc.. Retrieved from https://idiyas.com/company/nanthealth

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

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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