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.
Would you like to know more?
Please get in touch with our team who will be able to assist you.