MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202521015414 A) filed by Rungta International Skills University; Rungta College Of Engineering & Technology; and Rungta College Of Pharmaceutical Sciences And Research on February 22, 2025, for Ai-Driven Personalized Pharmacologic Dosing Method For Enhanced Treatment Safety And Precision.
Inventors include Ms. Kirti Kale; Mr. Aayush Gupta; Mr. Himanshu Yadav; Mr. Divyanshu Chandra; Ms. Durgesh Nandini; Ms. Rajnandani Keshri; Mr. Chhotu Kumar; Mr. Nitish Kumar; Mr. Shreehari Patel; and Mr. Lilesh Kumar.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: AI-Driven Personalized Pharmacologic Dosing method for Enhanced Treatment Safety and Precision This invention describes an AI-driven method into the system for personalized pharmacologic dosing, addressing the limitations of traditional dosing methods by integrating advanced technologies such as predictive modeling, fuzzy set-based computations, and machine learning. The system analyzes patient-specific data, including physiological biomarkers, historical outcomes, and real-time health metrics, to generate tailored dosing regimens. A fuzzy set-based computational framework evaluates and prioritizes these regimens, while a predictive modeling engine identifies potential drug interactions, synergistic effects, and long-term therapeutic outcomes. Environmental data, such as air quality and seasonal variations, is incorporated to refine dosing recommendations further. The machine learning subsystem dynamically adapts regimens based on real-time patient feedback, ensuring precision and safety over time. A clinician dashboard provides intuitive access to recommendations, real-time analytics, and alerts, enabling seamless integration into clinical workflows. This system offers a transformative approach to pharmacotherapy, delivering adaptive, patient-centric solutions with enhanced safety, efficacy, and regulatory compliance.
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