MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611025005 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on March 3, for 'personalized early warning system for multimorbidity using federated machine learning on wearable and ehr data.'
Inventor(s) include Amit Kishor.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention provides a federated machine learning-based early warning system that predicts multimorbidity using data collected from wearable sensors and electronic health records. The system operates in a privacy-preserving manner by training models locally and sharing only encrypted model updates with a central aggregator. A deep learning-based risk engine identifies early indicators of chronic disease combinations and provides real-time alerts, risk scores, and actionable recommendations. An explainability module ensures transparency for clinicians, while a user interface enables continuous monitoring. The invention improves preventive healthcare using personalized, secure, and real-time risk prediction."
Disclaimer: Curated by HT Syndication.
