Suwon-si, South Korea

Yo Sep Ji

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Yo Sep Ji in Diagnostic Methods

Introduction

Yo Sep Ji is an accomplished inventor based in Suwon-si, South Korea. He has made significant contributions to the field of medical diagnostics, particularly through the use of machine learning models. With a total of 3 patents to his name, his work focuses on innovative methods for diagnosing gastrointestinal conditions.

Latest Patents

One of his latest patents is a "Method and diagnostic apparatus for determining enteritis using a machine learning model." This method involves analyzing a mixture of gut-derived substances and a gut environment-like composition. It includes extracting microbial data, selecting relevant features for the machine learning model, and training the model to determine the presence of enteritis. The microbe-related features considered in this process include various genera from families such as Ruminococcaceae and Lactobacillaceae.

Another notable patent is the "Method and diagnostic apparatus for determining constipation using a machine learning model." Similar to his work on enteritis, this method analyzes gut-derived substances and microbial data to ascertain whether constipation is present. The process also involves training a machine learning model with selected microbe-related features.

Career Highlights

Yo Sep Ji is currently employed at Hem Pharma Inc., where he continues to develop innovative diagnostic solutions. His expertise in machine learning and microbiology has positioned him as a key figure in advancing medical diagnostics.

Collaborations

He collaborates with So Young Park, contributing to the development of cutting-edge diagnostic technologies.

Conclusion

Yo Sep Ji's innovative work in the field of medical diagnostics showcases the potential of machine learning in healthcare. His patents reflect a commitment to improving diagnostic accuracy and patient outcomes.

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