MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133370 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'a system and method for personalized treatment planning using machine learning.'
Inventor(s) include Meyammai CT; Kaushik Prakash; Jayannan; and Sukanya Sridevi P R.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Personalized Treatment Planning Using Machine Learning The current disclosure provides a system and method to create personalized multi-dimensional treatment plans using machine learning, bio-digital twin simulation, and adaptive feedback optimization. The system includes a multi-modal data acquisition module for obtaining physiological, genomic, and clinical data; a bio-digital twin simulation module for producing a dynamic digital representation of a patient; an adaptive learning engine implementing federated and reinforcement learning methods; and a treatment optimization module that examines multiple therapeutic pathways for an optimal plan. The process includes a closed-loop feedback mechanism, which continually updates the model based on real-time patient responses, allowing for adaptive personalization. The system also includes explainable AI visualization, blockchain-based data integrity, and a clinician interface with AR for transparent decision support. This invention refers to providing real-time, secure, and interpretable treatment plans, as it demonstrates a technical progress in the field of precision medicine, using intelligent, adaptive, privacy-preserving healthcare modeling."
Disclaimer: Curated by HT Syndication.
