Branson notes high-dimensional biological data is useless without machine learning
Kim Branson · AI in Pharmaceutical R&D with Kim Branson · Aug 1, 2024 · at 16:36
Kim Branson, Global Head of AI/ML at GSK, explains why human researchers cannot interpret complex multi-variable gene expression fluctuations without computational tools.
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“We've got more measurement technology, but it's in such high dimensionality on people that, like, you, I can't make sense of an array of, like, a whole bunch of expression changes which just fluctuate around baseline versus a disease patient. Right? Like, who can make sense of that? So this, we could generate it, we would, if without machine learning, we wouldn't know what to do with it. We'd have to do very sort of linear things and take out the most obvious stuff, which might be wrong, you know.”
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