Category: Uncategorized
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For years, the big promise of AI in biology was interpretation. Models could read papers, analyze genomic data, classify images, and suggest hypotheses faster than any human team. Over the last two weeks, the story has started to feel more concrete. The frontier is no longer just AI that understands biology. It is AI that…
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This week, a research team at the University of Illinois Urbana Champaign reported something that used to sound like science fiction: a full life cycle simulation of a living cell, from DNA replication and metabolism to growth and division. They did it for a genetically minimal bacterium, and they did it at nanoscale resolution, tracking…
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In the last couple of weeks, the most interesting shift in biology focused AI has not been a better single structure predictor. It is the jump from predicting shapes to predicting interactions and designing the parts that create them. A Nature report described a new proprietary drug discovery model from Isomorphic Labs that impressed researchers…
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Most data breaches fade with time. Passwords get rotated. Credit cards get replaced. Even medical facts can become stale. Genomic data is different because it is persistent, inherently identifying, and useful far beyond the context in which it was collected. Once a genome is out, it is out forever, and it can be linked back…
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AI is slowly becoming a real collaborator in understanding life. Over the past few months AI systems have gone from predicting structures or gene expression to actually helping design molecules, simulate cells, and guide lab experiments. Much of this progress comes from a new generation of foundation models in biology, massive systems trained on DNA,…
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A new paper published on arXiv, “Protein generation with embedding learning for motif diversification” (arXiv:2510.18790), introduces a new approach to protein design that combines deep learning embeddings with generative modeling. The paper is available at https://arxiv.org/abs/2510.18790 The study addresses a long-standing challenge in computational biology: generating new protein structures that preserve key functional motifs while…
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In the past two weeks, one of the world’s largest pharmaceutical companies made a move that signals a turning point for modern biotechnology. AstraZeneca announced a $555 million collaboration with Algen Biotechnologies, a company emerging from Jennifer Doudna’s Berkeley lab, to merge artificial intelligence with CRISPR-based gene editing. The partnership marks one of the most…
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Biology has entered a new era, one defined not by microscopes but by algorithms. Artificial intelligence is reshaping how scientists understand life, from the level of molecules to entire ecosystems. What once took years of manual experimentation can now happen in weeks, driven by models that learn directly from biological data. Far from replacing scientists,…
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Cybersecurity has always been an arms race. As attackers develop new tactics, defenders scramble to respond with updated rules, signatures, and monitoring systems. The scale and sophistication of modern threats, however, are overwhelming traditional approaches. Artificial intelligence is now reshaping the battlefield, offering tools that can adapt, learn, and defend in ways that static methods…
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Proteins are the molecular machines of life, and designing them has long been one of biology’s greatest challenges. Traditional methods rely on trial and error or evolutionary insights, but artificial intelligence is opening a new frontier. By learning the rules of protein folding and function, AI systems can now generate novel proteins with tailored shapes…
Maurizio Morri - Science Blog 