Science Identity
Please review each article prior to use: grade-level applicability and curricular alignment might not be obvious from the headline alone.
St. Malo’s summer hot spot relies on dedicated community to make sure park-goers can kick back and relax
18 minute read Preview Friday, Sep. 4, 2026Scientists studying cockroach milk and nose-blowing win Ig Nobel prizes for quirky science
3 minute read Preview Saturday, Sep. 5, 2026Japanese scientist Shirakawa, co-winner of 2000 Nobel Prize in chemistry, dies at 90
2 minute read Preview Saturday, Sep. 5, 2026Rare and tough to notice, sarcomas may lurk in the body
12 minute read Preview Monday, Aug. 31, 2026U of M research role expands after $79-M federal injection
5 minute read Preview Friday, Aug. 28, 2026United Nations talks in Mongolia expose growing drought crisis as climate impacts worsen
5 minute read Preview Monday, Aug. 31, 2026Doctor pays $500K to revamp courtyard at care home where he works
4 minute read Preview Thursday, Aug. 27, 2026Researchers tracking Manitoba monarchs migrating to Mexico
4 minute read Preview Wednesday, Aug. 26, 2026Earth is simmering in its hottest water temps on record, and that’s bad for fish and us
5 minute read Preview Tuesday, Aug. 25, 2026Wolseley residents put down roots to save elms
5 minute read Preview Thursday, Aug. 20, 2026Inside the Montreal lab working to prepare Canada against future pandemics
6 minute read Preview Tuesday, Aug. 18, 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.