Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Ep 35: Christer Malmberg & rapid diagnostics. MALDI-TOF machine learning. Global burden of AMR.
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Manage episode 322064622 series 3319607
Content provided by Uppsala Antibiotic Center. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Uppsala Antibiotic Center or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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! Check relevant links in the show notes at www.uac.uu.se/the-amr-studio/episode35/. Follow our updates on twitter on www.twitter.com/uac_uu with #theAMRstudio hashtag! Theme music by Henrik Niss: www.tinyurl.com/henriknissspotify.
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73 episodes
MP3•Episode home
Manage episode 322064622 series 3319607
Content provided by Uppsala Antibiotic Center. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Uppsala Antibiotic Center or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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! Check relevant links in the show notes at www.uac.uu.se/the-amr-studio/episode35/. Follow our updates on twitter on www.twitter.com/uac_uu with #theAMRstudio hashtag! Theme music by Henrik Niss: www.tinyurl.com/henriknissspotify.
…
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73 episodes
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