Predicting resistance directly from MALDI-TOF MS

This talk provides an overview into MALDI-TOF technology that is used in the diagnostic workflow, delving into how it can be used beyond species identification, discussion species, marker masses, functional assays and machine learning based prediction of AMR

• Learn the basics about MALDI-TOF MS – Resolution beyond species identification
• Understand the determination of AMR with MALDI-TOF MS; species, marker masses, functional assays and machine learning based prediction of AMR

Professor Adrian Egli, Prof. Dr. med. Dr. phil. (MD PhD) is the Head of Department, Clinical Microbiology at the University Hospital of Basel and Research Group Leader “Applied Microbiology Research” Laboratory in the Department of Biomedicine of the University of Basel

Learn more about Professor Adrian Egli and his projects here.