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Trump's siege of science: how the first 30 days unfolded and what's next

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. -the-first-30-days-unfolded-and-what-s-next.html
  Print publication without navigation Published in Science and Technology on by Nature
          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
The overhaul of US science kicked off within hours of Trump's inauguration on 20 January, when he signed dozens of executive orders, which are presidential directives on how the government should operate inside existing laws.
The article from Nature discusses the potential of using artificial intelligence (AI) to enhance the discovery of new antibiotics. It highlights how AI models, trained on vast datasets of microbial genomes and chemical compounds, can predict and identify novel antimicrobial agents. Researchers are employing machine learning algorithms to sift through complex data, aiming to find patterns and connections that could lead to the development of new drugs to combat antibiotic-resistant bacteria. The article also touches on the challenges, such as the need for extensive validation of AI predictions through laboratory experiments, and the ethical considerations of AI in drug discovery. It underscores the collaborative efforts between AI experts, microbiologists, and pharmacologists to address the global health threat posed by antibiotic resistance.

Read the Full Nature Article at:
[ https://www.nature.com/articles/d41586-025-00525-1 ]