MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082083 A) filed by Dr. Manivannan T; Raghavendra G S; Sunil Kumar Tiwari; Dr Pooja R; Hemlata Sahu; Shweta Ramkar; Shahbaz Rathor; W. Mesiya Stalin; and Suraj Kariyare on July 03, 2026, for Ai-Driven Predictive Framework For Covid-19 Vaccine Response And Post- Vaccination Health Risk Assessment.
Inventors include Dr. Manivannan T; Raghavendra G S; Sunil Kumar Tiwari; Dr Pooja R; Hemlata Sahu; Shweta Ramkar; Shahbaz Rathor; W. Mesiya Stalin; and Suraj Kariyare.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to the development of a predictive model that uses AI technology to assess the response of individuals to COVID-19 vaccination as well as to monitor post-vaccination health risks by integrating information about clinical, demographic, immune and physiological parameters. The prediction framework utilizes machine learning methods to analyze the following information and make the predictions on antibody reaction, likelihood of developing adverse events and results of vaccination in general: Electronic Health Records, laboratory markers, vaccination record, profile of diseases, wearables and genomic or biomarker information. A multi-tiered predictive engine will be able to do feature extraction, risk stratification and health assessment, while constantly improving its predictions based on real-time health monitoring data. The system will be providing individualized post- vaccination treatment recommendations, follow-up schedule and even medical intervention, if necessary, due to elevated risk levels. Cloud-based analytical capabilities and data management allow for scaling and integration into existing systems. FIG.1
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