MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049565 A) filed by Sr University, Warangal, Telangana, on April 18, for 'design an adaptive learning mechanism to enhance model accuracy in detecting early-stage cardiomyopathies.'
Inventor(s) include Sriramula Naveena; and Dr. Kummari Venkatesh.
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: "The present invention discloses an adaptive learning-based diagnostic system designed to improve the accuracy of detecting early-stage cardiomyopathies using artificial intelligence and multimodal data analysis. Cardiomyopathies often remain undiagnosed in their initial stages due to subtle physiological changes and limited sensitivity of traditional diagnostic methods. The proposed system integrates heterogeneous data sources, including electrocardiogram signals, cardiac imaging, electronic health records, and wearable device data, to provide a comprehensive evaluation of cardiac health. A key feature of the invention is its adaptive learning mechanism, which employs incremental learning and reinforcement learning to continuously update model parameters based on new clinical data and expert feedback. Advanced feature extraction and data fusion techniques enable the system to capture complex relationships across multiple data modalities. Predictive analytics models and anomaly detection algorithms identify early deviations in cardiac function, generating risk scores and real-time alerts for clinicians.The system enhances diagnostic sensitivity and reduces false negatives, enabling timely intervention and improved patient outcomes. Its scalable architecture supports integration with existing healthcare systems and remote monitoring platforms. Overall, the invention provides a robust, intelligent, and continuously evolving framework for early detection and management of cardiomyopathies."
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