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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
The Drug Discovery Pipeline in Plain Terms

Why the Pipeline Turns Back

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That straight line is misleading, though, because the pipeline almost never runs through once. A screen can come back with hits that are too weak to matter. Optimization can reveal that a promising compound is toxic once it is inside a cell.
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The pipeline is drawn as a straight line, but it behaves as a loop. A screen may return hits that are too weak, or optimization may reveal that a compound is toxic in cells, or preclinical testing may expose a safety problem. Each of those results sends the work back to an earlier stage, which is why lead optimization is described as iterative refinement rather than a single pass.

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