MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043283 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for public health surveillance and epidemiological data modeling.'
Inventor(s) include Navami Gopan; Sasidharan S; Parameshwar Keerthi B. H; Anish Kumar A; Durga B; Regi Cindrella M; Dinesh Kumar R; Divya S; Jerose Rani D; and Subbulakshmi VV.
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 Public Health Surveillance and Epidemiological Data Modeling The present disclosure relates to a system and method designed to facilitate public health surveillance and epidemiological data modeling through a distributed and intelligent computational framework. The system has a processor, memory, and several modules that work together to gather data from many sources, such as clinical, environmental, mobility, wearable, and genomic inputs. The system uses a federated learning engine to train models in a way that protects privacy without sharing raw data. A digital twin simulation module makes virtual population models that can be used to model how diseases spread and how to stop them. A forecasting engine that uses artificial intelligence and optimization techniques in real time predicts how outbreaks will spread and what the risks are. A blockchain-based data integrity module makes sure that data management is safe and can't be changed. The system also has an adaptive intervention recommendation engine and an alert generation module that help people make decisions before they have to. The method lets you process data in real time, use predictive analytics, and deploy it on a large scale. This makes public health management systems more accurate, efficient, and responsive."
Disclaimer: Curated by HT Syndication.
