MUMBAI, India, Jan. 8 -- Intellectual Property India has published a patent application (202511105229 A) filed by Manipal University, Jaipur, Rajasthan, on Oct. 31, 2025, for 'machine learning-based system for optimized antibiotic regimen prediction in drug-resistant infections.'
Inventor(s) include Dr Avichandra Singh Ningthoujam.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to a machine learning-based system for optimized antibiotic regimen prediction in drug-resistant infections. The system comprises a data acquisition and pre-processing module to collect the patient data from multiple tertiary care hospitals, encompassing electronic health records (EHRs), laboratory information systems (LIS), and pharmacy databases and subjects the raw data to rigorous cleaning, including handling missing values, outlier detection, and standardization; model development and training module to extract the features form the raw data and machine learning model trained to predict the optimal antibiotic regimen (single agent or combination) that leads to clinical cure with the lowest probability of resistance development, while considering patient-specific contraindications; and model validation and performance module to validate and evaluate the performance of the model. The present model enables clinicians to make informed, data-driven decisions swiftly, even pre-culture. Key benefits include reduced treatment failure, decreased resistance, improved patient outcomes, optimized resource utilization, and enhanced stewardship, thereby transforming the approach to managing resistant infections."
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