Executive Summary
AI
- Michael Schmidt presents an open-access perspective by Bilgin and colleagues from Zurich and Lucerne, Switzerland, titled Microbial and Antimicrobial Resistance Diagnostics by Gas Sensors and Machine Learning, which proposes identifying infections from the volatile organic compounds bacteria emit.3:25
- He argues today's diagnostics still rest on methods Robert Koch pioneered at the Imperial Health Office in Berlin in 1880 — roughly 150 years — taking days to weeks and driving empiric broad-spectrum prescribing, while the WHO now demands faster tools.12:07
- On cost, he notes MALDI-TOF identifies a microbe for about a nickel once instrument, labor and database subscription are set aside, but gas sensors built on chem-bio responsive materials could be cheap and portable enough for rural clinics and low- and middle-income regions.20:21
- Michelle Swanson then covers an mBio paper from Beth Honor's lab at Cornell with Oregon State, Harmful Algal Bloom Species, Microcystis Originosa Releases Thiamin Antivitamins to Suppress Competitors.36:51
- In co-culture the green algae Chlamydomonas population declined about 35% while the cyanobacterium rose about 23%, an inhibition traced to the antivitamin basamethrin and reversed by adding thiamine, with the same compound found rising during the August bloom in Upper Klamath Lake.40:08
Key Quote
“Forget your fancy PCR machines and your week-long culture plates,”
— Michael Schmidt5:03
Key Quote
“Is that a technical term, Michael, zit?”
— Vincent Racaniello6:27
Key Quote
“Zit is definitely a technical term coined by many, many learned physicians.”
— Michael Schmidt6:29