MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081153 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Ai-Based Disease Prediction Using Medical Data.
Inventors include Dr B. Sarada; Ojha Shiv Bhagwan; M Rama Krishna; and P. Harika Prasanna.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: An Al-based disease prediction system analyzes medical data to assist in early diagnosis and preventive care. Patient data, including symptoms, lab results, medical history, and lifestyle factors, is collected and processed. Machine learning and deep learning algorithms identify patterns and con'elations in the data. The system predicts the likelihood of diseases with high accuracy and provides risk assessment scores. Personalized recommendations for medical tests, lifestyle adjustments, or interventions are generated. Integration with hospital information systems and electronic health records ensures seamless data access. Real-time monitoring and alerts notify healthcare providers of critical patient conditions. Historical and longitudinal data improve prediction reliability over time. Visualization dashboards provide actionable insights for doctors and healthcare administrators. The system supports multiple disease types, including chronic, infectious, and lifestyle-related conditions. Data privacy and security measures protect sensitive patient information. Predictive insights aid in preventive healthcare and resource planning. The system reduces diagnostic errors and enhances patient outcomes. Scalability allows deployment across clinics, hospitals, and telemedicine platforms
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