MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511112671 A) filed by Kiet Group Of Institutions, Ghaziabad, Uttar Pradesh, on Nov. 17, 2025, for 'personalized medicine recommendation system using artificial intelligence and machine learning.'
Inventor(s) include Abhinav Tripathi; Chandramouli Dhar Dubey; Tushar Bhardwaj; Tushar Panwar; Vikash Kumar Shukla; Dr. Richa Srivastava; and Dr. Pravesh.
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: "The present invention relates to a software-based personalized medicine recommendation system that employs artificial intelligence and machine learning to analyze multi-source patient data and generate optimized treatment plans tailored to individual patients. The system collects electronic health records, laboratory results, genetic and genomic information, medication history, lifestyle data, and real-time physiological parameters from wearable devices. Collected data is preprocessed to standardize formats, handle missing entries, and eliminate inconsistencies. Machine learning algorithms, including decision trees, neural networks, clustering methods, and similarity-based models, analyze patient profiles to predict treatment efficacy, potential side effects, and optimal dosages. The system generates personalized recommendations, including drug selection, dosage optimization, lifestyle guidance, and follow-up protocols, and dynamically updates these recommendations based on real-time patient data and historical outcomes. The invention enhances clinical decision-making, reduces adverse drug reactions, and enables precise, patient-centric medical care."
Disclaimer: Curated by HT Syndication.
