MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621053851 A) filed by Dr. Mahavir Chhajed; Dr. Abhimanyu Singh Rathore; Mrs. Pooja Sinha; Mrs. Jyoti Yadav; Mr. Ankit Panchal; and Mr. Manoj Mandloi on April 28, 2026, for Ai-Enabled Drug Interaction Detection System For Personalized Medication Safety And Dosage Optimization.
Inventors include Dr. Mahavir Chhajed; Dr. Abhimanyu Singh Rathore; Mrs. Pooja Sinha; Mrs. Jyoti Yadav; Mr. Ankit Panchal; and Mr. Manoj Mandloi.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: An artificial intelligence-enabled system for detecting drug interactions and optimizing personalized medication safety and dosage is disclosed. The system integrates patient-specific data, including medical history, concurrent medications, laboratory results, genomic information, and real-time physiological parameters, to assess potential adverse interactions. An AI engine employing machine learning models analyzes drug-drug, drug-gene, and drug-condition relationships to generate risk scores and severity classifications. A dosage optimization module provides individualized dosing recommendations based on predicted patient response and clinical parameters. The system further incorporates a feedback mechanism for continuous learning using real-world data, thereby improving predictive accuracy over time. A user interface presents actionable alerts and recommendations to healthcare providers and patients, enhancing decision-making, reducing adverse drug events, and supporting precision medicine.
Disclaimer: Curated by HT Syndication.
