Antibiogram Pattern Prediction

Antibiogram pattern prediction aims to forecast future antibiotic resistance trends by analyzing historical data on bacterial resistance to various drugs. Current research focuses on developing sophisticated machine learning models, including spatial-temporal networks, to capture the complex interplay of geographical location, temporal dependencies, and bacterial genomic similarities in shaping resistance patterns. Accurate prediction of these patterns is crucial for improving antibiotic stewardship, optimizing treatment choices, and mitigating the global threat of antimicrobial resistance.