AI can propose a molecule or suggest the next experiment. But someone still has to run the experiment, check the result, and decide what to do with it. In this episode of Talking Precision Medicine, Rafael Rosengarten talks with Stacie Calad-Thomson, Global BD Lead for BioPharma Labs & Manufacturing at NVIDIA about connecting AI to the physical lab. They discuss why consistent experimental data matters, how agents and robotics could work together across a lab, and what scientists will do as more of that work becomes automated.
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