Dr. David Fajgenbaum

Actually, I will tell you, there is a drug repurposing platform that I will not name on this podcast where literally one of the top five predicted drugs for Castleman disease or predicted treatment for Castleman disease is car fume exhaust as a treatment.

This was the top predictions.

I guess inhaling car fumes.

It was like AI.

AI made the connection.

You'd be like, you know what?

And I was like, oh my gosh, that's the problem.

I just haven't been inhaling enough car fumes.

That's why my Castleman's is out of control.

I just needed to inhale car fumes.

So I say that not just to say that, oh, my gosh, this one platform had this bad prediction, but it's to say that AI is going to make silly predictions that make no sense.

Not silly, like harmful.

Harmful, yes.

Harmful, yes.

Right.

That's why humans have to be a part of this and humans who can critically evaluate this and say, like, this is not good.

So I think the most important thing is going to be.

I think how we communicate around these scores when they are made publicly available, that these scores are intended for our research team to find things for us to research more.

These were not ever intended to be, you know, scores to say this thing that's number one is what I should get because that's going to save me.

And so I think it's going to be context is going to be really important.