Thu Feb 20 23:30:00 UTC 2025: ## AI Tool Offers Real-Time Insights into Antibiotic Resistance in India

**New Delhi, February 21, 2025** – Researchers from IIIT-Delhi have developed an AI-powered tool, AMRSense, to track and predict antibiotic resistance patterns in real-time. The tool, developed in collaboration with CHRI-PATH, Tata 1mg, and the Indian Council of Medical Research (ICMR), analyzes routine hospital data to provide insights at the global, national, and hospital levels.

A study published in *The Lancet Regional Health – Southeast Asia* used AMRSense to analyze six years of data from 21 Indian tertiary care centers. The research revealed relationships between antibiotic resistance patterns, showing how resistance to one antibiotic can predict resistance to others. This allows for earlier interventions, according to Dr. Tavpritesh Sethi, a researcher involved in the project.

The team also developed the AMROrbit Scorecard, which received an award at the 2024 AMR Surveillance Data Challenge. This scorecard visualizes the trajectory of antibiotic resistance in hospitals and countries, enabling timely interventions to curb its spread. The ideal scenario, according to lead author Jasmine Kaur, is low baseline resistance and a low rate of change.

The AI models, while showing accuracy in capturing past trends, require further validation with future data to account for unforeseen events like the COVID-19 pandemic. The tool’s accuracy is dependent on consistent, granular surveillance data, limiting its applicability in regions lacking digital access to such information.

While the current model focuses on hospital data, the researchers hope to expand its capabilities to incorporate data on antibiotic sales and environmental factors, such as antibiotic use in the poultry industry, to achieve a more comprehensive understanding of antibiotic resistance. The tool aims to enhance existing surveillance efforts and provide clinicians with crucial information for informed decision-making.

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