MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043121 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for smart medication adherence monitoring and treatment tracking.'
Inventor(s) include Ganesh Kumar D; Shanmuga Priyan; Veda Vijaya T; Sudhakar K; Devi S; Thephilah Cathrine R; Deepa Sundareswaran; Nishaa Bharathi M; Ashika Fathima. B; and Karthika P.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Smart Medication Adherence Monitoring and Treatment Tracking This disclosure is about a system and method for using bio-validated ingestion detection and smart predictive analytics to keep track of how well people are following their medication and treatment plans. The system has a smart medication interaction module that collects data about how the user takes their medication, a bio-validation sensor module that gets physiological responses, and a context-aware behavioral analysis engine that looks at the user's specific conditions. A digital twin therapy modeling engine creates a virtual version of how a patient's treatment is going to see how it will turn out based on how well they stick to their treatment plan. A federated predictive compliance engine predicts the risks of not following the rules while keeping data private. A neuromorphic behavioral reasoning module interprets the intent to follow the rules so that intervention strategies can be changed. The system also has a blockchain-based traceability module for safely checking medications and a treatment outcome correlation engine for figuring out how well a treatment works. The present disclosure offers an accurate, adaptive, and closed-loop solution for improving medication adherence and optimizing treatment outcomes in real-time healthcare settings by combining multi-modal sensing, artificial intelligence, and secure data management."
Disclaimer: Curated by HT Syndication.
