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Seoul, South Korea

Vuno, Inc.

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USPTO Granted Patents = 32

EPO Patents = 2

Trademarks = 8

Forward Citations = 77

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53 inventors (with patents filed for the assignee):

Kyuhwan Jung (7 out of 7 patents)

Woong Bae (5 out of 11 patents)

Hyun-Jun Kim (5 out of 7 patents)

4. Yeha Lee (5 out of 7 patents)

5. Gwangbeen Park (5 out of 5 patents)

6. Sejin Park (4 out of 26 patents)

7. Beomhee Park (4 out of 5 patents)

8. Oyeon Kwon (4 out of 4 patents)

9. Eun Bi Koh (4 out of 4 patents)

10. Hyunho Park (3 out of 16 patents)

11. Seungho Lee (3 out of 86 patents)

12. Ye Ha Lee (3 out of 4 patents)

13. Dong Soo Lee (3 out of 42 patents)

14. Minki Chung (3 out of 3 patents)

15. Hyunwoo Oh (3 out of 3 patents)

Core Competencies:

Lesion Analysis

Medical Imaging

Machine Learning

Neural Networks

ECG Classification

Bone Age Assessment

Fundus Image

Image Reconstruction

Visualization

Abnormal Findings

Medical Retrieval

32 patents: Sort by Forward Citations

1. 12770260 - Method to read chest image (2026-10-20),

2. 12700086 - Medical-image-based lesion analysis method (2026-08-04),

3. 12609199 - Machine learning method of neural network predicting mechanism of action of drug, and method of predicting mechanism of action of drug by using the neural network (2026-04-21),

4. 12609194 - Medical image processing method (2026-04-21),

5. 12518381 - Method for aiding visualization of lesions in medical imagery and apparatus using the same (2026-01-06),

6. 12476004 - Deep neural network pre-training method for classifying electrocardiogram (ECG) data (2025-11-18),

7. 12380554 - Method for detecting abnormal findings and generating interpretation text of medical image (2025-08-05),

8. 12283051 - Method for analyzing lesion based on medical image (2025-04-21),

9. 12283041 - User interface for video analysis (2025-04-21),

10. 12236605 - Method for detecting white matter lesions based on medical image (2025-02-25),

11. 12236585 - Method for measuring lesion of medical image (2025-02-25),

12. D1063075 - Electrocardiograph (2025-02-18),

13. 12125199 - Method for predicting disease based on medical image (2024-10-22),

14. 12125197 - Method to read chest image (2024-10-22),

15. D1045088 - Electrocardiograph (2024-10-01),

Company Overview

Vuno, Inc. is a South Korean technology company specializing in artificial intelligence solutions for the healthcare sector. The organization focuses on developing advanced medical imaging and diagnostic tools that enhance clinical decision-making and improve patient outcomes. By leveraging deep learning and data analytics, Vuno aims to transform traditional healthcare practices, making them more efficient and effective. Its innovative technologies are designed to support healthcare professionals in various settings, contributing to the evolution of medical practices in the region and beyond.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 10 2026

32 Patents

#165 in Seoul

#434 in South Korea

#20,746 in the World

Seoul, South Korea

Vuno, Inc.

Forward Citations = 77

53 inventors:

Kyuhwan Jung (7 out of 7 patents)

Woong Bae (5 out of 11 patents)

Hyun-Jun Kim (5 out of 7 patents)

4. Yeha Lee (5 out of 7 patents)

5. Gwangbeen Park (5 out of 5 patents)

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

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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