3.AMRSense: A team of researchers has developed AMRSense, an AI-driven tool that utilizes hospital-generated routine data to provide early and accurate insights on antimicrobial resistance (AMR) at global, national, and hospital levels.
oUses AI-powered data integration & predictive analytics to track real-time antibiotic resistance patterns.
oAnalyzed six years of data from 21 tertiary care centers (ICMR-AMR surveillance network).
oEnhances AI-driven antimicrobial stewardship & surveillance at hospital and public health levels, and Utilizes culture sensitivity test data (blood, sputum, urine, pus, etc.) for AI-based modeling.