SPEAKER_04

We can give it the raw data and we can pose a question in natural language.

And then we say, hey, make sense of this and turn it into a network.

Normally, that would have taken a graduate student along with a couple of postdocs months and months and months to put it all together.

Now, in three hours, we can get pictures and hypotheses of how all that data fits together in ways that I never could have done before.

In the beginning, it did a lot of hallucinations, which you probably heard about in AI.

But my answer to my colleagues is some of my best students hallucinate.

Right.

Right.

And and so but, you know, the human still in the loop.

And so with all of this together, now we can make meaning out of the data and we can skip a lot of the intermediary steps and speed it up.

And it's just getting better.

I mean, we, for instance, have put in a couple of papers now where.

So, for instance, in where my special one of my recent specialties is what's called the tumor immune interface.

So you have the tumor, you have the immune system, which is coalescing on near.

And then in some cases, the tumor creates a boundary, a barrier between itself and the immune system, where there might be certain kinds of cells that the immune system, the tumor has told the immune system, ignore us.

We're not here.

But what we now can do is, well, on the other side of when you look at, let's say, complex patient populations, you find these things called tertiary lymphoid structures.

So your body has 220 or so lymph nodes, okay?

And the lymph nodes are where the immune system makes decisions, let's say.

It turns out that in the middle of tumors,