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

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

//science-technology.news-articles.net/content/2 .. -the-first-30-days-unfolded-and-what-s-next.html

Published in Science and Technology on Thursday, February 20th 2025 at 11:02 GMT by Nature

🞛 This publication is a summary or evaluation of another publication
🞛 This publication contains editorial commentary or bias from the source
🞛 This publication contains potentially derogatory content such as foul language or violent themes

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 ]