EP 65 · 1:05:33

What the BrainChat study does not yet establish

From What Happens When AI Gets a Lab?

Episode
9/16
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The BrainChat epilepsy study is described as small, short, and conducted at a single center, with participants required to have sufficient English proficiency and smartphone ability, which limits how broadly the results generalize. The hosts argue a more convincing follow-up study would need to measure outcomes that matter to patients directly, such as seizure burden, quality of life, anxiety levels, emergency room visits, and clinical workload, rather than just showing the technology works in principle.

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1:05:33the effect efficacy that we've seen in this study in particular is very encouraging in again being able to now kind of take something out of the box and make it evolutionary in tandem with a patient. >> Yeah, I I think it's really >> a really really cool >> It's really cool. um study it's it's a small study it's short and it was conducted at only one center right um the participants they need sufficient English cognitive capacity and smartphone ability I guess um so you could think of that as a kind of limitation but I think a convincing next study would be to measure the outcomes

1:06:14that matter to patients for example like the seizure burden the quality of life anxiety the amount of emergency visits the clinical workload. >> Yep. >> Um I I think I think the fact that we're seeing this though is very encouraging to me because you know >> we we we hear a lot of AI doom and gloom. You know this is some good news. This is this is what was promised to me. >> Okay. When when when AI came in, they were like we're going to make medicine better. We're going to make your health better. That's what they said. >> This is what was promised. >> This is what was promised. >> Right. And so we're we're starting to see it slowly come out and it's not just

1:06:56the frontier lab companies that are using these technologies. Um, and a fascinating second story. And not to burden you with another AI related story, but unfortunately uh when we were uh in our 20s, the phrase was software is eating the world. And now in our 30s, AI is eating the world. And so there are just a multitude of areas, especially in science research, where it it comes up. And we are going to now move into our last story which is going to be a little bit of a zoom in but also a zoom out of what we mean by this whole idea of automated

1:07:38science research or AI going end to end from hypothesis to clinical outcome. And I think this will be an interesting there's a story that came out today that I think will give us a nice on-ramp to discuss what is the current state of play in what is a pipe dream at this point around AI scientific discovery. So

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