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Health May 27, 2026

Study Links Climate Crisis to Accelerating Antibiotic Resistance in Salmonella

A new Lancet Planetary Health study finds that rising temperatures and changing rainfall patterns h…
Lead: Climate Crisis Amplifies Antibiotic Resistance ThreatThe latest Lancet Planetary Health study shows that rising temperatures and shifting precipitation patterns have accelerated the global spread of antibiotic‑resistant salmonella, adding urgency to both climate‑mitigation and antimicrobial‑stewardship efforts.The Study Reveals Climate‑Driven Surge in Salmonella Resistance GenesResearchers from the UK, France, Australia, Switzerland and China analysed the genomes of more than 480,000 salmonella samples collected in 139 countries between 1940 and 2023. By correlating resistance‑gene abundance with historical temperature and rainfall data, they identified a non‑linear amplification of antimicrobial‑resistance (AMR) genes linked to climate variables.Quantifying a 10% Global Rise in Resistance Genes (1940‑2023)10% increase in salmonella antibiotic‑resistance genes worldwide over the study period.82% of the examined countries showed rising resistance gene levels.Largest climate‑associated spikes observed in the Middle East & North Africa, followed by South Asia and Sub‑Saharan Africa.Resistance trends varied with both temperature and rainfall, indicating complex environmental drivers.Implications for Global Health and One‑Health StrategiesAntibiotic resistance already kills over 1 million people annually. The study underscores that climate change compounds this crisis by destabilising microbial ecosystems across human, animal and environmental reservoirs, reinforcing calls for integrated One Health surveillance and stricter antibiotic use policies.Future Outlook: Integrating Climate Policy with Antimicrobial StewardshipThe authors advocate urgent alignment of climate‑mitigation actions—particularly those under the Paris Agreement—with enhanced antimicrobial‑stewardship programmes. They argue that adhering to low‑emission scenarios could curb the further spread of AMR genes and reduce the future burden of resistant infections.
#Lancet Planetary Health #Antibiotic resistance #Climate change
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Tech Mar 29, 2026

Literary World Struggles to Detect AI-Written Books as Technology Advances

The literary world is facing a challenge in detecting AI-written books, with experts warning that i…
The literary world is grappling with a new challenge: detecting AI-written books. Kate Nash, a literary agent, recently discovered an AI prompt at the top of a submission letter, which raised concerns about the use of artificial intelligence in book writing. The controversy surrounding Mia Ballard's 'femgore' horror novel Shy Girl, which was suspected to be up to 78% AI-generated, has forced literary agents and publishers to reevaluate their ability to detect AI-generated work. Hachette halted US publication of Shy Girl and removed it from online retailers after an internal review. Experts warn that AI detection tools are not foolproof and that the technology is advancing rapidly. Prof Patrick Juola, a US computer scientist, likens the failure of AI detection tools to antibiotic resistance, stating that AI is a learning system continually upgraded by its manufacturers. Mor Naaman, a professor of information science at Cornell Tech, agrees that publishers won't stand a chance in detecting AI-generated books soon. He notes that AI learns quickly how to avoid detection and that the line between human and AI-generated content is becoming increasingly blurred. The debate raises questions about the role of AI in creative writing and the importance of trust between readers and writers. Anna Ganley, of the Society of Authors, launched the Human Authored scheme to identify works written by humans, but it relies on trust, a value that is inherently vulnerable. Amelia Hill, the author of the article, highlights the importance of preserving the human element in literature, stating that AI may flood the market with content, but it cannot replace the messy, difficult work of being human.
#OpenAI #GPT-4 #large language models
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