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Chalmers University AI system autonomously conducts full research cycle in yeast biology

Researchers developed a closed-loop AI system integrated with lab robotics that autonomously generates hypotheses, designs and runs experiments, analyzes results, and iterates. It identified novel biological interactions including glutamate-induced growth inhibition.

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3 Sources, 18h ago, first seen 18h ago

TLDR

This advances "self-driving labs" beyond hypothesis suggestion to physical experimental validation, demonstrating practical automation of the complete scientific cycle. The work has implications for accelerating drug discovery and systems biology research, though it raises questions about oversight and the changing role of human researchers in the scientific process.

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3 Sources, first seen 18h ago

157 likes23 comments105 saves31 reposts
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Combined views

10K

3 Sources, first seen 18h ago

157 likes23 comments105 saves31 reposts

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3 Sources

@Damir_AkazaF*ck, this is the official end of the human monopoly on running the scientific cycle Researchers at Chalmers University of Technology achieved a breakthrough in automation by creating an AI system that closes the scientific loop. It independently generates hypotheses, runs experiments in a "wet" lab, and verifies the results. They loaded all known data about laboratory yeast Saccharomyces cerevisiae into the system. After that, the system operated autonomously: > Hypothesis: The AI agent analyzes the data and formulates a hypothesis about the relationship between genes and metabolism. > Experiment: The agent sends instructions to a robotic platform that performs cell cultivation. > Analysis: Robots measure physical parameters and send the data back to the AI. The agent evaluates the result and plans the next step. During testing, the system confirmed its capability to autonomously conduct and validate biological discoveries. Previously, Google showed an AI Co-Scientist that suggests hypotheses. Here, the AI tests them using robot hands in a real laboratory. This will accelerate research in medicine and biotechnology dozens of times over. A full breakdown of how this "AI scientist" works is below. 👇
@TheSubstrate_An AI scientist just ran the full loop: Chalmers' robot biologist formed its own hypotheses about yeast, designed and ran the experiments on automated platforms, and validated new biology no human scripted. Peer-reviewed, not a demo. The self-driving lab is here. #AI #Biopharma
@SexyTechNews🎙️ My Wed Sep 30 midday X digest as a podcast: Figure flips humanoid robots into molten steel, DeepMind open-sources SynthID Bio for AI-designed proteins, Tibo crowdsources the dots roadmap, and an AI cracks a percolation-theory holy grail. Watch: https://www.youtube.com/watch?v=ny2mooymvTw
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    3 Sources

    @Damir_AkazaF*ck, this is the official end of the human monopoly on running the scientific cycle Researchers at Chalmers University of Technology achieved a breakthrough in automation by creating an AI system that closes the scientific loop. It independently generates hypotheses, runs experiments in a "wet" lab, and verifies the results. They loaded all known data about laboratory yeast Saccharomyces cerevisiae into the system. After that, the system operated autonomously: > Hypothesis: The AI agent analyzes the data and formulates a hypothesis about the relationship between genes and metabolism. > Experiment: The agent sends instructions to a robotic platform that performs cell cultivation. > Analysis: Robots measure physical parameters and send the data back to the AI. The agent evaluates the result and plans the next step. During testing, the system confirmed its capability to autonomously conduct and validate biological discoveries. Previously, Google showed an AI Co-Scientist that suggests hypotheses. Here, the AI tests them using robot hands in a real laboratory. This will accelerate research in medicine and biotechnology dozens of times over. A full breakdown of how this "AI scientist" works is below. 👇
    @TheSubstrate_An AI scientist just ran the full loop: Chalmers' robot biologist formed its own hypotheses about yeast, designed and ran the experiments on automated platforms, and validated new biology no human scripted. Peer-reviewed, not a demo. The self-driving lab is here. #AI #Biopharma
    @SexyTechNews🎙️ My Wed Sep 30 midday X digest as a podcast: Figure flips humanoid robots into molten steel, DeepMind open-sources SynthID Bio for AI-designed proteins, Tibo crowdsources the dots roadmap, and an AI cracks a percolation-theory holy grail. Watch: https://www.youtube.com/watch?v=ny2mooymvTw
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