MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611062506 A) filed by Dr Nashra Afaq; Dr Snehanshu Shukla; Dr. Gaurav Kumar; Dr Archana Krishna; Dr Sanjeev Kumar; Dr. Mohammad Ali; Dr. Fareya Haider; Dr Chinmoy Sahu; Dr Sangram Singh Patel; Dr. Syed Belal Hassan; Dr. R Sujatha; and Dr Awadhesh Kumar on May 18, 2026, for A System And A Method To Enable Closed-Loop Antibiotic Control Using Patient Digital Twin Modeling, Resistance Evolution Prediction, And Hardware-Enforced Stewardship For Optimized Antimicrobial Therapy.
Inventors include Dr Nashra Afaq; Dr Snehanshu Shukla; Dr. Gaurav Kumar; Dr Archana Krishna; Dr Sanjeev Kumar; Dr. Mohammad Ali; Dr. Fareya Haider; Dr Chinmoy Sahu; Dr Sangram Singh Patel; Dr. Syed Belal Hassan; Dr. R Sujatha; and Dr Awadhesh Kumar.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT A SYSTEM AND A METHOD TO ENABLE CLOSED-LOOP ANTIBIOTIC CONTROL USING PATIENT DIGITAL TWIN MODELING, RESISTANCE EVOLUTION PREDICTION, AND HARDWARE-ENFORCED STEWARDSHIP FOR OPTIMIZED ANTIMICROBIAL THERAPY This disclosure pertains to a system and method that facilitate closed-loop antibiotic management through patient-specific digital twin modeling, predictive resistance analytics, and hardware-integrated stewardship enforcement. The system includes a data acquisition unit, a microbiological analysis module, a digital twin modeling module, a resistance evolution prediction engine, a pharmacokinetic–pharmacodynamic optimization module, a decision support engine, a hardware control interface, a stewardship enforcement module, and a dynamic policy engine that works with a processor and memory. Clinical parameters and microbiological data specific to each patient are used to model infection dynamics, predict the development of resistance, and create the best antibiotic control signals, such as selection, dosing, and duration. The system also sends executable control signals to pharmacy systems and delivery devices outside the system so that they can be used and followed in real time. A predictive, adaptive, and enforceable antimicrobial management solution is made possible by constant monitoring of treatment response and policy updates based on combined results. This leads to better therapeutic accuracy, less misuse of antimicrobials, less toxicity, and better system efficiency
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