MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043112 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for real-time patient health monitoring and predictive diagnosis.'
Inventor(s) include Suresh Babu K; Aravind P; Logeswari J; Chamundeeswari D; Ramnath V; Victor Devasirvadam; Fabiola M Dhanraj; Balamurugan N; Deepa Sundareswaran; and Subbulakshmi V.
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: "The present disclosure relates to a system and method for real-time patient health monitoring and predictive diagnosis through multi-modal biosignal acquisition, edge intelligence processing, neuromorphic analytics, and bio-digital twin modeling. The system has a lot of sensors that can pick up physiological and biochemical data, an edge-based processing unit that can preprocess and analyze data in real time, and a neuromorphic event-driven module that can find anomalies with low latency. A bio-digital twin modeling engine dynamically simulates physiological conditions that are specific to each patient in order to make health predictions. The system also has a federated learning framework for optimizing models while keeping privacy in mind, as well as a predictive diagnosis module for making risk scores and early warnings. An adaptive intervention module makes it possible to deliver healthcare in a closed loop by sending alerts and taking automated actions. The disclosed system allows for proactive, personalized, and scalable healthcare monitoring in a variety of clinical and remote settings. It does this by improving diagnostic accuracy, lowering latency, increasing energy efficiency, and securely handling data."
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