MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050602 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 21, for 'a system and method for adaptive drug dosage optimization using ai-based patient response modeling.'
Inventor(s) include Chamundeeswari D; Karpagavalli; Parimala K; Subbulakshmi Packirisamy; Yamuna V; Snehaa G; Nishaa Bharathi M; Aarthi P; Prakash P; and Sridevi Sangeetha.
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: "A System and Method for Adaptive Drug Dosage Optimization Using AI-Based Patient Response Modeling This disclosure pertains to a system and method for the adaptive optimization of drug dosage through hybrid physiological digital twin modeling, multi-parametric response validation, and edge-based closed-loop control. The system collects real-time physiological data from a number of sensors and then processes that data to create a single picture of the person's physiological state. A hybrid digital twin modeling engine simulates how a patient's body will respond to drugs and predicts how well they will work at different doses. A multi-parametric validation mechanism checks the predicted responses by comparing them to several physiological indicators. An adaptive dosage optimization engine calculates the best dosage within a set safety range, and a confidence scoring unit looks at the risks that come with it. There is also an edge-based control interface for real-time actuation and feedback verification, as well as a drift detection module for continuous recalibration. The system that was shown is a safe, reliable, and real-time way to personalize drug dosage optimization."
Disclaimer: Curated by HT Syndication.
