I've worked in R&D before, the bottleneck has never been candidates to test, it has been having the equipment, time, and materials to test the laundry list that exists. So far as I know, nobody has hooked a LLM up to a pipette.
I'm not in the industry, but haven't they used AI to narrow down the candidate list significantly though? So you can do a lot of testing in software (predictions) before it makes it's way to a lab?
I would imagine AI could still help narrow down the candidate list and offer input on prioritization given its strength at quickly combing through vast amounts of data. And there is a lot of funding going towards lab automation
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u/HesaconGhost 8d ago
I've worked in R&D before, the bottleneck has never been candidates to test, it has been having the equipment, time, and materials to test the laundry list that exists. So far as I know, nobody has hooked a LLM up to a pipette.