MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641097802 A) filed by Dr. S. Vasantha; Jeyarekha. S; Punithavathi P; Santhoshpriya. N; Prince Rose G; Priya Sengupta; and Sharmila. G on August 13, 2026, for Ml-Driven Predictive Tool For Optimizing Medication Dosage In Pain Management.
Inventors include Dr. S. Vasantha; Jeyarekha. S; Punithavathi P; Santhoshpriya. N; Prince Rose G; Priya Sengupta; and Sharmila. G.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention discloses a Machine Learning-Driven Predictive Tool for Optimizing Medication Dosage in Pain Management that provides personalized dosage recommendations by analyzing patient-specific health parameters and treatment responses. The system integrates physiological sensors, an ESP32-WROOM-32 microcontroller, wireless communication, and predictive analysis techniques to collect and process real-time patient information. The tool evaluates parameters such as heart rate, blood pressure, body temperature, and movement patterns to identify pain-related conditions and medication effectiveness. By analyzing historical and current health data, the system supports optimized medication decisions, reduces dosage-related risks, and enhances personalized pain management. The invention is applicable in hospitals, rehabilitation centers, remote healthcare, and home-based monitoring environments.
Disclaimer: Curated by HT Syndication.
