No, it's a very good question. It's obviously an area we're incredibly focused on. And just to give you a flavor, when I was talking about sort of near 12 months, that's typically where we have been seeing the MSK-ACCESS implementations that's not indicative of sort of the broader portfolio. And that's really just because of the, I would say, novel nature of liquid as well as the need to have the tumor normal match pairs, right, when you're doing your validation work, which are harder samples to acquire than is typical for some organizations. But I would say, overall, we've spent a lot of time and effort, and we'll continue to put in and utilize both improved processes and automation and AI to kind of enable us to engage with our customers better and speed the time to market of some of these solutions. To give you an example, we have a very important exome client that we signed in the first quarter that will come online late summer, right? So it was a late Q1 signing, and they're already going to be generating revenue in the August time period. So we do have examples now on the, I would say, faster end, particularly when it's one of our more standard products that we've deployed many times on a sequencer that we're obviously quite accustomed to. So again, I would say, overall, often, this sometimes does depend on the customer, but we are compressing those time lines, and it will ease that path to revenue, and it's something we remain incredibly focused on because, as you mentioned, it's exciting to have the forward visibility of the backlog, but obviously, we'd rather see that pull through, right? And so as that happens, obviously, you will see that come through on the revenue line.