Practical Science
Please review each article prior to use: grade-level applicability and curricular alignment might not be obvious from the headline alone.
Inside the Montreal lab working to prepare Canada against future pandemics
6 minute read Preview Tuesday, Aug. 18, 2026Manitoba family finalist for cattle producers environmental award
4 minute read Preview Saturday, Aug. 15, 2026An elegy for the smalls
5 minute read Preview Saturday, Aug. 15, 2026Feds reports progress on climate adaptation but climate groups say it isn’t enough
6 minute read Preview Saturday, Aug. 15, 2026PCs say Hutterite colonies singled out by Bill 21
4 minute read Preview Friday, Aug. 14, 2026Fact File: Experts douse viral claim that wildfires caused by ‘weather manipulation’
5 minute read Preview Saturday, Sep. 5, 2026Nero’s Bridge emerges from Tiber River as Rome faces water crisis
2 minute read Preview Saturday, Sep. 5, 2026Unsafe conditions force Sea Bears, Honey Badgers into winner-take-all CEBL final in Winnipeg Saturday
4 minute read Preview Thursday, Aug. 13, 2026Libau man warns Manitobans after contracting West Nile Virus
3 minute read Preview Wednesday, Aug. 12, 2026Federal government invests $24 million for cannabis and brain health research
2 minute read Preview Thursday, Aug. 13, 2026‘Artificial intelligence’ based on large language models is shaping up to be the most efficient destroyer of value since the South Sea Bubble. After “the Crash”, which is inevitably coming, some specific functions of AI will eventually turn out to be genuinely revenue-generating, and a lot of jobs will duly disappear. But the biggest winner (and potentially biggest loser) is medical science.
Dr. Brian Hie, a chemical engineer at Stanford University in California, has just revealed that his team has made the first viruses designed by artificial intelligence. They are ‘bacteriophages’, viruses that only infect bacteria and are widely used to treat people with infections that resist other treatments.
However, natural bacteriophages sometimes fail, so Dr. Hie used generative AI to design new ones that might do the job. The AI generated thousands of designs for new genomes that more or less fit the bill, and he chose around 300 of them to build in the lab. It’s hard work, not magic, but he ended up with 16 ‘novel’ bacteriophages that might work.
He applied them to petri dishes containing two harmful strains of E. coli, a common bacteria that lives in the human gut, and they killed the bacteria off. It’s still early days, but if it is truly becoming possible to tailor-make bacteriophages that target specific bacteria, then we may be getting a major new weapon in the struggle against antibiotic resistance.