Intellectual Property India Publishes Patent Application for 'A Method, Wearable Device And System For AI-Based Multi-Modal Biomarker Diagnostics And Closed-Loop Predictive Therapeutic Management Prediction' Filed by Meenakshi Academy Of Higher Education And Research

MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043259 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a method, wearable device and system for ai-based multi-modal biomarker diagnostics and closed-loop predictive therapeutic management prediction.'

Inventor(s) include Ganesh Kumar D; Shanmuga Priyan; Veda Vijaya T; Sudhakar K; Devi S; Thephilah Cathrine R; Deepa Sundareswaran; Nishaa Bharathi M; Ashika Fathima. B; and Karthika P.

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 Method, Wearable Device and System for AI-Based Multi-Modal Biomarker Diagnostics and Closed-Loop Predictive Therapeutic Management Prediction The present disclosure relates to a system, method, and wearable device for AI-based multi-modal biomarker diagnostics and closed-loop predictive therapeutic management. The system comprises a plurality of hybrid biosensors configured to continuously acquire physiological, biochemical, and behavioral signals, including ECG, PPG, and biomarker indicators. An embedded artificial intelligence (AI)/machine learning (ML) engine performs multi-modal data fusion, feature extraction, and predictive analysis to generate patient-specific baseline models, classify pathological conditions, and forecast disease progression. Based on predictive outputs, a closed-loop therapeutic control module dynamically regulates a stimuli-responsive therapeutic delivery system to provide adaptive and personalized treatment. The system further generates severity-based alerts and securely communicates diagnostic data and therapeutic status to user devices and healthcare providers. By integrating real-time monitoring, predictive analytics, and autonomous therapeutic actuation within a wearable platform, the invention enables proactive healthcare management, improves diagnostic accuracy, reduces response time, and enhances patient safety."

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