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Stanford Evo 2 AI model generates phages against E. coli

ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, bacteriophage, Biology, biosecurity, dna synthesis, Drug resistance, evo 2, Features, Generative AI, genome design, Governance, Regulation & Policy, Healthcare, Healthcare & Wellness AI, How It Works, mrsa, Open Source, Open-Source & Democratised AI, Science, stanford, Synthetic biology

Stanford researchers have synthesised nearly 300 phages from DNA sequences produced by the Evo 2 generative AI model. Laboratory testing narrowed the group to 16 phages that showed particularly strong E. coli-killing activity. The work centres on bacteriophage ΦX174, pronounced “FYE-ex-1-7-4”. Brian Hie, an assistant professor of chemical engineering and Dieter Schwarz Foundation Stanford Data […]

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Safety fears as scientists make first viruses designed by AI

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Researchers say breakthrough offers hope for new medicines but also raises urgent biosecurity questionsScientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe.The viruses are specific kinds known as bacteriophages, which only infect bacteria and

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AI can fuel biological weapons. We must harness its power for defense | Annie Jacobsen

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The offensive potential is no longer theoretical. We need to develop systems to strengthen public health as quickly as AI is accelerating biological designAs artificial intelligence rapidly transforms the biological sciences, it is pushing the future of biology in two opposing directions. AI can help bad actors generate recipes for biological weapons with just a

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A little bird told her: scientist wins $100,000 prize for decoding birdsong

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Julie Elie worked out how zebra finches announce who they are, what they are doing and use individual signaturesA scientist who decoded the dictionary that a bird uses to communicate has won a $100,000 prize for making progress towards a world in which humans can talk to the animals – without being met with a

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AI could help win ‘race against extinction’ of vital plants, say botanists

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Tech is helping to identify and save new specimens and could open ‘genomic goldmine’ of fungi dataThe rise of AI and digitisation could be a turning point in the “race against extinction” faced by botanists trying to identify and save vital plants before they vanish, according to a major report from Royal Botanic Gardens, Kew.New

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OpenAI starts offering a biology-tuned LLM

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On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows. Called GPT-Rosalind after Rosalind Franklin, the model appears to differ from most science-focused models from major tech companies, which have generally taken a more generic approach that works for various fields. In a press briefing, Yunyun Wang, OpenAI’s

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MIT engineers design proteins by their motion, not just their shape

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Proteins are far more than nutrients we track on a food label. Present in every cell of our bodies, they work like nature’s molecular machines. They walk, stretch, bend, and flex to do their jobs, pumping blood, fighting disease, building tissue, and many other jobs too small for the eye to see. Their power doesn’t

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Can scientists really resurrect the dodo? Inside the company that says they can

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Colossal Biosciences’ CEO says its work follows a ‘moral obligation’ while critics say it’s ‘tech bro’ hype that could undermine conservationCan and should we resurrect animal species that have been extinct for thousands of years? Such weighty, existential questions were once the preserve of science fiction but are now being played out within an unassuming

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3 Questions: Building predictive models to characterize tumor progression

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Just as Darwin’s finches evolved in response to natural selection in order to endure, the cells that make up a cancerous tumor similarly counter selective pressures in order to survive, evolve, and spread. Tumors are, in fact, complex sets of cells with their own unique structure and ability to change. Today, artificial Intelligence and machine learning

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Large genome model: Open source AI trained on trillions of bases

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Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes, it could correctly identify the next one or suggest a completely novel protein. That system worked because bacteria tend to

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