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AD/PD 2026 | The role of AI in advancing precision brain health and improving care in AD and PD

Rhoda Au, PhD, Boston University, Boston, MA, explores how artificial intelligence (AI) could transform care in Alzheimer’s disease (AD) and Parkinson’s disease. She emphasizes AI’s potential to integrate complex, multi-dimensional data and support more personalized approaches to diagnosis and treatment. This interview took place at the AD/PD™ 2026 International Conference on Alzheimer’s and Parkinson’s Diseases in Copenhagen, Denmark.

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Transcript

I think that there’s a lot to be seen in terms of how AI is going to transform. I think that it’s changing so fast. So we have a very interesting, we’re at a very interesting intersection in time right now. Because we have AI, which is really moving very rapidly and becoming better and better. But in the clinical context, that’s an environment that’s pretty slow to change, right? And so I think that there is great opportunity to take the healthcare system that we have in general and then specifically in terms of both AD and PD and bring in these AI tools to help us bring together lots of different kinds of information that can help understand the individual...

I think that there’s a lot to be seen in terms of how AI is going to transform. I think that it’s changing so fast. So we have a very interesting, we’re at a very interesting intersection in time right now. Because we have AI, which is really moving very rapidly and becoming better and better. But in the clinical context, that’s an environment that’s pretty slow to change, right? And so I think that there is great opportunity to take the healthcare system that we have in general and then specifically in terms of both AD and PD and bring in these AI tools to help us bring together lots of different kinds of information that can help understand the individual. We’re trying to get to precision medicine, and we’re trying to get, in my case, I think a lot about precision brain health. But the factors that go into influencing how you’re able to diagnose, detect, even treat someone can be very complex because the diseases themselves can be multi-etiological. So there’s just not one pathway, right? There’s not one pattern. And so in treatment, I think from a treatment standpoint, you’re always bringing in multiple different types of information in order to figure out what would be relevant to that individual. That’s where I think AI could have tremendous value, right? Because it can do that. It can bring together very disparate information. It can bring it all together and help synthesize it extremely quickly and give potentially the clinician a full comprehensive picture. Now the question is, how are we going to get there?

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