MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611022893 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Feb. 26, for 'ai-driven system and method for personalized prediction of drug response and interactions using integrated genomic and clinical data.'
Inventor(s) include Prof. Poonam Panwar; and Prof. Satish Kumar.
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: "The present invention relates to an artificial intelligence driven system and method for personalized prediction of drug response and drug interaction risks through integrated analysis of genomic data and clinical history. The system acquires patient specific genomic information and electronic clinical records, harmonizes heterogeneous datasets using standardized medical frameworks, and applies machine learning models to evaluate gene-drug interactions, drug-drug interactions, and predicted therapeutic outcomes. Based on the analysis, the invention generates individualized risk-benefit profiles and actionable clinical recommendations to support optimized drug selection and dosage decisions. The system supports adaptive learning from real world treatment outcomes and interoperability with healthcare information systems, thereby enhancing patient safety, treatment effectiveness, and the practical implementation of precision medicine."
Disclaimer: Curated by HT Syndication.
