MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007155 A) filed by Dr. M. Naresh; Mr. S. Hemanth Kumar; Dr. Mohd Ahmed; Dr. K. Naga Vihari; Dr. V L N Srihari Gaddam; Dr. Siva M; Dr. Animesh Kumar Sharma; Mr. Saravana Kumar S; Dr. A. Jenifer Christinal; and Dr. R. Mehala Devi, Tirupati, Andhra Pradesh, on Jan. 24, for 'advanced statistical models for predictive analysis in health data using machine learning.'
Inventor(s) include Dr. M. Naresh; Mr. S. Hemanth Kumar; Dr. Mohd Ahmed; Dr. K. Naga Vihari; Dr. V L N Srihari Gaddam; Dr. Siva M; Dr. Animesh Kumar Sharma; Mr. Saravana Kumar S; Dr. A. Jenifer Christinal; and Dr. R. Mehala Devi.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an advanced predictive analysis framework for healthcare data using statistical models integrated with machine learning techniques. The system is designed to process heterogeneous and large-scale health datasets to extract meaningful patterns, trends, and predictive indicators that support clinical decision-making and healthcare planning. By combining probabilistic and regression-based statistical methods with adaptive machine learning algorithms, the invention enables accurate and dynamic prediction of health outcomes. The framework incorporates uncertainty estimation and explainable analytics to enhance transparency and trust in predictive results. Continuous learning mechanisms allow the system to evolve with new data, ensuring relevance in changing clinical environments. The invention supports personalized healthcare by integrating patient-specific attributes and ensures secure, compliant handling of sensitive health information. This approach facilitates early diagnosis, improved treatment planning, and effective population health monitoring."
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