MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115802 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'ai-based symptom-driven system for predictive detection of canine diseases and working method thereof.'
Inventor(s) include Mr. Sandeep Yadav; Adit Tripathi; Apurv Maurya; Abhishek Mishra; Adarsh Sharma; and Ayush Bhadwar.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-based symptom-driven system and working method for predictive detection of canine diseases. The system enables early, low-cost, and accessible diagnosis by processing simple, owner-reported symptoms without requiring laboratory tests, imaging, or specialized veterinary equipment. The invention comprises a symptom acquisition interface, preprocessing engine, encoding and feature-transformation module, and a machine-learning prediction engine trained using supervised models such as decision trees, random forests, SVM, KNN, and logistic regression. A real-time inference module generates disease probabilities and confidence scores, while an explainability unit provides feature-importance insights. The system supports multiple embodiments including cloud-based, mobile, and offline implementations. By delivering rapid and reliable predictions for diseases such as parvovirus, distemper, rabies, and skin disorders, the invention significantly improves early veterinary intervention, enhances decision support, and expands diagnostic accessibility for pet owners, veterinarians, and animal shelters."
Disclaimer: Curated by HT Syndication.
