“Antimicrobial resistance pandemic will kill more people than cancer by 2050 and no one at Davos is talking about it" – leading scientists speak out at Frontiers Science House
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Updates every hour. Last Updated: 2-Apr-2026 15:15 ET (2-Apr-2026 19:15 GMT/UTC)
In a world first, a research team led by the University of Oxford’s Department of Engineering Science has shown it is possible to engineer a quantum mechanical process inside proteins, opening the door to a new class of quantum-enabled biological technologies. The study has been published today (21 January) in Nature.
A research team led by Prof. LI Bing from the Institute of Metal Research of the Chinese Academy of Sciences, together with collaborators, has overcome a longstanding bottleneck in refrigeration technology. Their findings, published in Nature on January 22, introduce a novel cooling method based on the "dissolution barocaloric effect," which offers a promising zero-carbon alternative to traditional refrigeration.
Biases in AI’s models and algorithms can actively harm some of its users and promote social injustice. Documented biases have led to different medical treatments due to patients’ demographics and corporate hiring tools that discriminate against female and Black candidates.
New research from Texas McCombs suggests both a previously unexplored source of AI biases and some ways to correct for them: complexity.
“There’s a complex set of issues that the algorithm has to deal with, and it’s infeasible to deal with those issues well,” says Hüseyin Tanriverdi, associate professor of information, risk, and operations management. “Bias could be an artifact of that complexity rather than other explanations that people have offered.”