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Can AI Run a Drug Discovery Lab on Its Own?

1What It Would Mean for AI to Run a Lab2The Drug Discovery Pipeline in Plain Terms3Where AI Already Helps Today4Closing the Loop: Self-Driving Labs5Real Examples of AI-Run Lab Systems6Where Autonomy Breaks Down7What Still Needs a Human
Closing the Loop: Self-Driving Labs

The Four-Phase Ring

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Up to now, every AI tool we looked at ended with a person standing at the bench. The prediction was made, the ranking was handed over, and then a human did the actual experiment. A self-driving lab is what happens when that handoff disappears.
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A self-driving lab is organized as a repeating cycle of four phases: design, make, test, and learn. In the design phase the model proposes what to try next. In the make phase that proposal becomes a physical sample. In the test phase the sample is measured. In the learn phase the measurement updates the model, and the cycle begins again. The cycle is what makes the system self-driving: each phase feeds the next, and the last phase changes the first.

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