MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133535 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'a system and method for predictive disease detection through biomedical data analytics.'
Inventor(s) include Shankar. K; Rajashri C K; Dinesh Kumar R; and Nikitha Ravi.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Predictive Disease Detection Through Biomedical Data Analytics The current disclosure pertains to a system and method for the predictive detection of diseases using biomedical data analytics. The system utilizes multiple biosensors, each configured separately to capture multimodal physiological and biochemical data, an edge-AI biosignal fusion module to extract features from the data and a cross-domain correlation module to combine genetic, environmental, and behavioral data for disease prediction. The system also utilizes a trust adaptive federated learning module based on blockchain technology with a secure federated learning platform to allow decentralized model training without exchanging raw data and to maintain privacy. In addition, the system includes a quantum-inspired feature encoding unit that generates biomedical vectors in an amplitude-phase representation to increase signal separability. A hybrid Transformer-BiLSTM inference system then predicts disease probability and trajectory of disease progression. The system also includes an explainable AI interpretation layer that provides clinician interpretable outputs and adaptive recommendations. The current disclosure provides a technologically advanced, real-time, privacy-aware predictive healthcare analytic, with superior accuracy, ease of inference, and clinical interpretability as compared to existing analytic frameworks."
Disclaimer: Curated by HT Syndication.
