Drug discovery is moving from a slow design-make-test-analyze cycle to a connected loop between AI and the lab.
In this episode, Stacie Calad-Thomson, Global Business Development Lead for BioPharma, Labs & Manufacturing at NVIDIA, talks about how AI is changing the way new medicines are discovered. She explains what "lab in the loop" looks like in practice and why the wet lab is still a bottleneck. She shares how agents, automated instruments, and physical AI are connecting computational predictions to real experiments. She also discusses what biopharma teams need before adopting agentic AI, including proprietary data and a focus on one repeatable workflow, and how faster, cheaper discovery could open the door to precision medicine and rare diseases.
Tune in to hear how connecting AI with the wet lab could bring better molecules to patients faster!
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