Yeah, I think when we talk about stroke secondary prevention, we’re looking at individualized risk factors. Part of individualizing those risk factors is providing a greater degree of precision. And I think where we’re going to see the field of stroke prevention move is not just in individual prevention strategies, but tailoring these prevention strategies to shoot for optimal goals, as well as looking at individual factors, genomic factors...
Yeah, I think when we talk about stroke secondary prevention, we’re looking at individualized risk factors. Part of individualizing those risk factors is providing a greater degree of precision. And I think where we’re going to see the field of stroke prevention move is not just in individual prevention strategies, but tailoring these prevention strategies to shoot for optimal goals, as well as looking at individual factors, genomic factors. And the study of those specific genomics in an individual patient and what medications or which clinical approaches are going to be most responsive for them. It’s going to help us to target an individualized care plan. And that’s where AI comes in. It collates, it puts together all of the different knowledge that’s available and uses a large language model or machine learning in order to optimize what is the right strategy for that individual patient, taking into account the degree of precision we need from knowledge from genomics as well as individual effects from medications.
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