Suchandrima Bhowmik, MS

AI tools may help clinicians recognize sepsis earlier, but false alarms, limited external validation, and uncertain effects on patient outcomes complicate their use in adult and neonatal intensive care.

Antimicrobial resistance hotspot mapping combines laboratory results, antibiotic prescribing, patient movement, and environmental data to identify where resistant pathogens emerge and spread. Emerging research suggests integrated surveillance, AI, and One Health collaboration could improve infection prevention while helping health systems detect resistance earlier and target interventions more effectively.