In the second episode of this series, Dr. Tesha Monteith and Dr. Peter Goadsby discuss the prediction of treatment responses for personalized medicine. Show transcript: Dr. Tesha Monteith: Hi, this is Tesha Monteith with The Neurology Minute. Today I'm speaking with Peter Goadsby from the Division of Biomedical Sciences at King Abdullah University of Science and Technology about key trends in headache medicine and some of the most impactful research presented at the AAN annual meeting. Can you talk a little bit about prediction of treatment response for personalized medicine? Dr. Peter Goadsby I hope that AI gives us some direction. I haven't seen anything yet, but I don't think we've done enough with it to make it stunning yet. I think that the AI systems ... I'd love to know, for example ... I've been using triptans for 30 years and apart from using sumatriptan first when [inaudible 00:00:51] had a triptan simply because it's the commonest triptan, which is generally what I do, that's a pretty naff rule when you think about it. I'd like to think that AI systems could work out where we should be going in terms of acute therapy, preventive therapy, whether there are particular red flags or amber flags you might say in a person's broad history. I don't think we've got there yet, but I actually think we will get there. I think we'll be surprised and we'll learn things about the biology of the disorder and about the pharmacology of these medicines, which must have subtle differences because we all see people who respond to one and don't respond to another, and you sort of scratch your head, but you're happy that it happens. Dr. Tesha Monteith: I agree with you, and I think the future is really bright for headache medicine and the potential of AI to move the needle. Peter, thank you again for joining us and sharing your insights. I really appreciate you being on. This is Tesha Monteith. Thank you for listening to The Neurology Minute.

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