Researchers from Shenyang University of Chemical Technology explored the application potential of the Catal-GPT in catalyst design, which was built upon the qwen2 large language model, proposing a new paradigm for AI-driven catalyst development. The results showed that the qwen2 model could provide the complete preparation workflows and the detailed optimization suggestions through conversational interaction. Future work aims for cross-system adaptability to transform catalyst discovery from trial-and-error to precision targeting.

They’ve survived for billions of years in boiling acid, deep-sea vents and salt flats. Now, some of Earth’s oldest life forms — microbes called Archaea — are offering a new weapon in the fight against one of today’s most urgent health threats: antibiotic resistance. In a new study published in Nature Microbiology, researchers at the University of Pennsylvania used artificial intelligence to identify previously unknown compounds in Archaea that could fuel the development of next-generation antibiotics.

Scientists at Tsinghua University have developed a method to grow kidney tumours in the lab using cells from real patients, offering a potential new tool in the fight against renal cancer. Their research, published in the journal Biofabrication, outlines how 3D bioprinting technology can be used to replicate the unique characteristics of each patient’s tumour.