11 articles filed here
Convergent evolution gave bats and dolphins sonar and turned lobster relatives into crabs. Machine learning is now finding the genes behind these repeats. Here is what the evidence shows.
Epigenetic clocks and machine learning are being pointed at early cancer detection. We separate what the 2026 evidence shows from what the headlines imply, from breast cancer risk to the NHS-Galleri trial.
The 2026 Bundibugyo epidemic is now the largest Ebola outbreak ever recorded in the DRC, against a virus for which no licensed vaccine or therapy exists. It is also the first serious field test of AI-era biology's central promise — and the results are more sobering, and more interesting, than the hype allows.
The US government's July 28 policy prohibits dangerous gain-of-function research outright. But purely computational design of novel biological agents is explicitly not prohibited — it gets an interagency monitoring group instead. Here's what the policy says, why the split matters, and what it doesn't tell us.
A new peer-reviewed study cut AI-redesigned toxin genes into fragments and fed them to four commercial DNA screening tools. Two caught fragments as short as 50 nucleotides. Here's what that means ten weeks before a US screening deadline — and why the authors are still worried.
Genome sequencing published this week places the virus behind Central Africa's fastest-growing Ebola outbreak on a distinct branch of the Bundibugyo family tree — with an evolutionary signal nobody expected. Here is what that means for diagnostics built on the wrong prior, and where AI-assisted sequencing genuinely helps.
For about three years, the standard frontier-lab position on biology was defensive. Biology was the scary quadrant of the risk matrix.
