Intellectual Property India Publishes Patent Application for Artificial Intelligence For One Health: Integrating Human, Animal, And Environmental Health Data

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110465 A) filed by Dr. Pawan Bhambu; Dr. Prithu Pathak; Dr. Rashi Srivastava; Dr. Jitendra Singh Rajawat; Dr. Vanshika Vyas; Dr. Mangal Singh Panwar; Dr. Deshraj Sharma; Dr. Dhiraj Saxena; Dr. Krishna Kumar Bohra; Gotukula Santhosh; Shivangi Purohit; Dr. M. Sudha; Dr. Alladi Kirankumar; and Dr. Singh Shekhar Gautam on September 15, 2026, for Artificial Intelligence For One Health: Integrating Human, Animal, And Environmental Health Data.

Inventors include Dr. Pawan Bhambu; Dr. Prithu Pathak; Dr. Rashi Srivastava; Dr. Jitendra Singh Rajawat; Dr. Vanshika Vyas; Dr. Mangal Singh Panwar; Dr. Deshraj Sharma; Dr. Dhiraj Saxena; Dr. Krishna Kumar Bohra; Gotukula Santhosh; Shivangi Purohit; Dr. M. Sudha; Dr. Alladi Kirankumar; and Dr. Singh Shekhar Gautam.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: An AI-driven One Health integrated surveillance and analytics system (100) for aggregating, harmonizing, and analyzing health data from human, animal, and environmental domains. The system (100) comprises a multi-domain data acquisition module (110) with domain-specific collection units (111, 112, 113) and an IoT sensor network interface (114), a data harmonization and fusion engine (120) employing ontology mapping (122) for cross-domain semantic alignment, an AI-driven analytics engine (130) with machine learning (131), deep learning (132), natural language processing (133), and predictive modeling (134) modules, a cross-domain correlation engine (140) performing zoonotic risk assessment (141), antimicrobial resistance tracking (142), and environmental health impact assessment (143), a real- time surveillance dashboard and alert system (150) with geospatial mapping (153), and a decision support system (160) for intervention recommendations and resource allocation. The system enables early detection of cross-domain health threats through integrated multi-domain analysis.

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