AST.AI by China Medical University Hospital combines clinical MALDI-TOF signals and machine learning models to identify drug-resistance bacteria. Current clinical lab testing procedures include conducting bacterial identification and antimicrobial susceptibility tests, and will take 3-5 days to provide the information for clinicians to prescribe appropriate antibiotics.
By comparing the differences in MALDI-TOF MS signals and using the model trained with the clinical big data to classify peak patterns of drug-resistant phenotypes in an hour. AST.AI integrates clinical laboratory practice and machine learning technology to accelerate the digital transformation of medicine.
