What are the challenges in actually doing the analysis and where have we, where have we come to in terms of developing the sorts of models that we need to be able to make accurate predictions from this, from this wealth of data that we're collecting? Carmen, maybe I'll start with you on that one.

So, uh, one of the, the challenges when, you know, when, when building models with this, uh, data, uh, from observational cohorts is as, uh, Will, uh, was saying is the missingness.

And there are different ways of dealing with missingness.

And the, the main problem is that this missingness is not, uh, at random, so it is informative.

So it means something many times.

So one of the key challenges is not only, uh, the actual missingness, but understanding the cause of that missingness.

So I think we are still there.

And Carmen, I might start with you on, on that one.