Ep 35: Christer Malmberg & rapid diagnostics. MALDI-TOF machine learning. Global burden of AMR.


Happy 2022 to you all! We are glad start a new year with you with this episode. This time, we bring you an interview with our first UAC PhD graduate, Christer Malmberg, who defended his industry-PhD thesis last year, where he developed a new rapid method of testing antibiotic susceptibility. We talk about his experience throughout his studies, what this new method brings to the table, and what he wishes for the future. In the news section, we continue talking about diagnostics, looking into a recent study that explores machine learning and the readily available MALDI-TOF system to provide early information that can help guide treatment recommendations for infections. We also talk about the new seminal paper published last month in The Lancet, presenting the most up-to-date and comprehensive data on the global burden of AMR. We hope you enjoy! 

You can follow us and subscribe to our podcast to get new episodes directly in your preferred device and platform: 

iTunesSpotify & SoundCloud

or you can listen to our 35th episode right here:

Relevant links:

  • Check how the Gradientech method works here.
  • This Week in Microbiology (TWiM) podcast episode mentioned.

Further Reading:

If you have any comments and suggestions you can email us here, or tweet to us (@UAC_UU) using the hashtag #theAMRStudio.

Last modified: 2022-04-08