MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641066626 A) filed by Dhananjay; Naveen; and Bayikati Nageswara Rao on May 27, 2026, for Adaptive Federated Machine Learning Framework For Early Multi-Disease Prediction Using Wearable Sensor Networks.
Inventors include Dhananjay; Naveen Gajji; and Bayikati Nageswara Rao.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention proposes an intelligent and privacy-preserving healthcare monitoring framework called the Adaptive Federated Machine Learning Framework for Early Multi-Disease Prediction Using Wearable Sensor Networks. The invention integrates wearable healthcare devices, federated learning, edge computing, deep learning algorithms, and IoT communication technologies to provide real-time multi-disease prediction without exposing sensitive patient information. The system continuously collects physiological signals such as heart rate, ECG, oxygen saturation, body temperature, glucose level, and physical activity through wearable devices and processes the data locally using edge computing nodes. Instead of transmitting raw healthcare data to centralized cloud servers, only encrypted model parameters are exchanged through a federated learning architecture, thereby preserving patient privacy and reducing cybersecurity risks. The framework supports adaptive model learning, real-time disease prediction, intelligent healthcare recommendations, and emergency alert generation for multiple diseases including cardiovascular disorders, diabetes, hypertension, respiratory diseases, stress-related conditions, and sleep abnormalities. The proposed invention enhances healthcare accessibility, predictive accuracy, scalability, and remote healthcare management while minimizing cloud dependency and communication overhead.
Disclaimer: Curated by HT Syndication.
