MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124941 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 10, 2025, for 'ai-driven personalized medication recommendation and scheduling system.'
Inventor(s) include Dr. E. R. Aruna; Dr. Vasantha S V; Ms. Shaik Shahanaz; Dr. R Karthikeyan; Dr. K Narsimha; and Dr. Devulapalli Praveen Kumar.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "AI-Driven Personalized Medication Recommendation and Scheduling System is the proposed invention. The proposed invention is an intelligent medication management system that utilizes artificial intelligence to deliver personalized drug recommendations and optimized dosing schedules for individual patients. The system analyses comprehensive medical data including diagnosis, allergies, comorbidities, lab results, lifestyle patterns, and ongoing prescriptions to determine the safest and most effective medicines tailored to each user's needs. By applying advanced machine learning and clinical rule-based decision engines, it identifies potential drug-drug interactions, contraindications, and dosage risks, ensuring high standards of medication safety. The system generates a dynamic medication schedule that aligns dosage timing with patient-specific routines such as meal timings, sleep cycles, and biological responses. Smart reminders, adherence tracking, and real-time alerts are enabled through mobile and wearable interfaces, helping users avoid missed or incorrect doses."
Disclaimer: Curated by HT Syndication.
