AMR AI Prediction Project

The AMR Explainable AI Prediction Project centers on the creation of a transparent, interpretable machine-learning model that forecasts antimicrobial resistance patterns using microbiology and clinical data. Developed to support hospitals, laboratories, and public health institutions, the model provides clinicians with evidence-based insights to guide antibiotic selection.

The solution empowers health systems to combat rising drug resistance, reduce treatment failures, and strengthen antimicrobial stewardship programs.