MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024577 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on March 2, for 'a method, a wearable device, and a system for multimodal digital healthcare intelligence with adaptive therapeutic optimization and real-time outcome risk prediction.'
Inventor(s) include Aashish A; Navami Gopan; Karpagavalli; and Parthasarathy R.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a method, a wearable device, and a system for multimodal digital healthcare intelligence with adaptive therapeutic optimization and real-time outcome risk prediction. The system comprises a wearable device equipped with a plurality of multimodal sensors configured to continuously acquire heterogeneous physiological and contextual data, including cardiovascular waveforms, respiratory metrics, activity parameters, and environmental indicators. A predictive healthcare intelligence engine performs preprocessing, multimodal data fusion, and artificial intelligence-based modeling to compute individualized risk scores using hazard-based time-to-event estimation. Based on dynamically updated risk stratification, a decision module generates severity-stratified alerts and adaptive therapeutic recommendations through a closed-loop optimization framework. The system supports secure transmission of structured physiological summaries and predictive reports to user devices and healthcare providers. Optional cloud-assisted analytics and federated learning mechanisms enhance personalization, predictive accuracy, and privacy preservation."
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