MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063546 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for ai-based drug interaction prediction and prescription optimization.'
Inventor(s) include Vidhya Lakshmi; Saranya H; Karpagavalli; Srilekha S; and Badri K.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a system and method for AI-based drug interaction prediction, digital therapeutic twin generation and adaptive prescription optimization. The disclosed system collects multi-dimensional healthcare intelligence data from electronic medical records, wearable biosensors, laboratory systems, pharmacy databases, genomic repositories and physiological monitoring infrastructures. The system produces a patient-specific digital twin of a therapeutic that is configured to computationally simulate biological and pharmacological responses associated with multiple combinations of medications. Application of temporal pharmacological graph intelligence models to identify emergent drug-drug interactions, molecular incompatibilities, slow accumulating toxicity, and organ-specific therapeutic risks. The system also uses predictive adverse-event forecasting and bio-adaptive prescription optimization engines to autonomously modify dosage patterns, therapeutic sequencing, administration timing and molecular substitutions on the basis of predictive biological tolerance estimation. Real-time physiologic intelligence is continuously analyzed for therapeutic response validation Federated therapeutic learning mechanisms continuously improve predictive pharmaceutical intelligence, therapeutic personalization, and adaptive prescription optimization, while maintaining healthcare data privacy and computational scalability."
Disclaimer: Curated by HT Syndication.
