MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063548 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for predictive healthcare analytics for early disease detection.'
Inventor(s) include Keertana M; Nivetha A; Poongodi V; Koushik Kumar N; and Kavitha M.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Predictive Healthcare Analytics for Early Disease Detection The present disclosure relates to a system and method for performing predictive healthcare analytics, adaptive physiological digital twin generation, and pre-symptomatic disease detection with artificial intelligence and federated clinical intelligence architectures. The system disclosed herein includes a plurality of sensing modules configured to continuously acquire physiological, behavioral, biochemical, metabolic and environmental intelligence associated with a user. The processor is configured to perform adaptive preprocessing, longitudinal biomarker analysis, graph-based physiological intelligence modeling and temporal disease evolution forecasting to identify latent pathological progression signatures ahead of clinically observable disease manifestation. The system also produces personalized physiological digital twins for continuous modeling of dynamic biological states and explainable reconstruction of disease causality pathways. Prevention intervention simulation engine: Predicts future physiological outcomes associated with multiple healthcare strategies (medication adjustments, lifestyle modifications, and behavioral optimization). The invention further enables federated privacy-preserving healthcare intelligence learning, probabilistic risk estimation, adaptive baseline refinement, and autonomous preventive healthcare recommendation generation for scalable predictive healthcare management and improved clinical decision intelligence."
Disclaimer: Curated by HT Syndication.
