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What Trump 2.0 means for science: the likely winners and losers

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 to sift through millions of compounds to find those with antibiotic properties, significantly speeding up the drug discovery process. The article mentions specific AI-driven projects like the one from MIT and the Broad Institute, where AI helped identify a new class of antibiotics effective against drug-resistant bacteria. Additionally, it touches on the challenges, such as the need for validation through traditional lab experiments, the complexity of bacterial resistance mechanisms, and ethical considerations regarding AI in healthcare. The piece concludes by emphasizing the collaborative potential between AI and human scientists to tackle the growing threat of antibiotic resistance.

Read the Full Nature Article at:
[ https://www.nature.com/articles/d41586-025-00052-z ]