Sujal Patel : That’s a great question. What I’m seeing over 2022 and the first couple of months here of 2023 continues to reinforce for me that we are building a highly differentiated product with a wide competitive moat. What I’ve seen from the traditional method competitors that seen continued evolutionary improvements to their platforms, but nothing that really is fundamentally game changing. And from the emerging competitive landscape, there are a few names that are performing quite well on the targeted side of proteomics, which is different and highly complementary to what we’re doing. But on the discovery side, where there are some companies looking to improve sample preparation, some that are focused on pest type sequencing methods.
When we look at the capabilities of those platforms and how they’ve evolved over the course of the last 12 to 14 months if I include the first couple of months of 2023, I’m not seeing any major capability improvements or anything on the horizon that would–that would close the gap with the capabilities of our platform that we’re building.
Tejas Savant : Great. And one final one for me. I guess it’s a little bit looking out into the longer term, but the clinical market is a huge opportunity for you guys. And with the clinical market today, relying primarily on single biomarker assays. What do you think it will take to drive that market to using a broader set of proteins in the clinic? And I know you guys highlighted sensitivity, scale and producibility of onetimes and ease of use as key characteristics. But what do you think are some of the key features that this specific market would be looking for?
Parag Mallick : Yes. I think that’s a great question. I think when we look at the clinical market, we’ve seen a similar trend in transition from single marker-based studies to panels, occur in genomics. And it started with providing the research data across a wide spectrum of initial mutations in genomics so that people were able to take a more comprehensive look in a retrospective manner. From the comprehensive look, it just made sense to start using panels. There was a point that measuring those panels by orthogonal means, was inefficient. And it was easier. It was faster. It was to simply use the discovery platform as a clinical platform. And so we anticipate a similar transition will occur in proteomics. Initially, people will use the discovery platforms, look at a wide variety of markers, understand the synergies between them, understand the predictive power that comes from being able to look at many biochemical axes at the same time as well as diving into proteoforms and really looking at that molecular heterogeneity as a marker.
As those panels get larger and larger and it becomes challenging, to convert them into traditional assays, Eliza’s others, it will spur a natural transition towards using our discovery platform as a clinical platform. And we are excited about that opportunity going forward. We’re preparing for that opportunity going forward. And I think it’s a really natural evolution of the field.
Sujal Patel : Okay. Thank you, guys, for the time today.
Operator: Okay. Thank you, everyone, for your participation in this conference. This does conclude the program, and you may now disconnect.
