antibiogram

Separates real resistance change from breakpoint-revision artefacts in AMR surveillance data. Re-reads historical MICs and zone diameters under CLSI/EUCAST editions, tests each organism-drug pair, and estimates MIC shifts with an interval-censored model. R, built on the AMR package

R workflow for AMR surveillance: cleans lab and WHONET exports, interprets MIC/disk values (EUCAST/CLSI), prints a CLSI M39 cumulative antibiogram, flags MRSA/VRE/CRE, and validates against real NCBI isolates.

STEWAGRAM is the AI-assisted Antibiogram: Smart Technology for Enhanced Warning and Analysis of Growth and Resistance Antibiogram Monitoring.

This project evaluates spatial and temporal correlation of UCSF antibiogram data

Patient-specific antibiograms at culture ordering: code for ARMD-Predict, multi-site machine learning models that estimate antibiotic susceptibility before culture results.