MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043115 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for intelligent disease risk prediction using multi-parameter health data.'
Inventor(s) include Shanma E; Premkumar U; Jeyaseelan R; Pugazhendhi S; Sridevi Sangeetha K S; Uma S; Thephilah Cathrine R; Mahesh Kumar PG; Srilekha S; and Annadurai A.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Intelligent Disease Risk Prediction Using Multi-Parameter Health Data The present disclosure relates to a system and method for intelligent disease risk prediction utilizing multi-parameter health data. The system has a data acquisition module that gathers physiological, biochemical, behavioral, and environmental data from sensors, wearable devices, and other sources. It also has a processor that uses a multi-modal data fusion engine to process the data. The system also has a bio-digital twin simulation engine that can make and update a dynamic virtual model of a user's physical state for predictive analysis. A federated learning module lets models be trained in a way that is decentralized and keeps people's privacy safe. A predictive analytics engine and a causal reasoning engine make accurate and understandable predictions about disease risk. There is also an explainable AI module and an adaptive intervention engine in the system that can give personalized recommendations. An edge processing unit also makes real-time inference possible, and a blockchain-based module makes sure that data is stored safely, which makes predictions more accurate and reliable."
Disclaimer: Curated by HT Syndication.
