Apparatus for predicting patella luxation of companion dog by using artificial intelligence model, and method therefor

An AI-driven genetic analysis system for dogs predicts patellar luxation, addressing the lack of early prediction methods by accurately identifying markers and risk levels, enhancing health and breeding outcomes.

WO2026141736A1PCT designated stage Publication Date: 2026-07-02GENESISEGO INC

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
GENESISEGO INC
Filing Date
2024-12-26
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Current methods for predicting patellar luxation in dogs lack effective early prediction or prevention strategies due to a lack of genetic understanding, leading to delayed treatment interventions.

Method used

An artificial intelligence model is used to analyze genetic data from dogs to identify patellar luxation markers, predict the presence or absence of the condition, and classify risk levels, incorporating base sequence analysis, quantification, and machine learning algorithms.

Benefits of technology

Enables early diagnosis and prevention of patellar luxation, improving canine health outcomes and reducing veterinary costs, while facilitating healthier breeding practices.

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Abstract

An apparatus for predicting patella luxation of a companion dog by using an artificial intelligence model, and a method therefor are disclosed. The apparatus for predicting patella luxation of a companion dog, according to one embodiment of the present invention, comprises: an extraction module for generating preset whole gene data from a sample of the companion dog, and extracting a patella luxation marker; a first prediction module for determining whether there is patella luxation; and a processor for controlling operation of a second prediction module that determines the risk of patella luxation.
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