An AI-Driven Antimicrobial Resistance Surveillance Framework for Low-Resource Settings: A Pilot Study from Mogadishu, Somalia
Background Antimicrobial resistance (AMR) constitutes a profound global health crisis, with profoundly disproportionate impacts in low-resource settings (LRS) and conflict-affected regions like Somalia. Traditional laboratory-based surveillance is largely unfeasible in these environments due to resource constraints. Th...