We've seen tremendous advances in technology and our ability to apply AI to imaging and ECG waveforms to be able to detect subtle patterns of disease. Now there's been two really big challenges that have come up as more and more of these technologies have come into the course of clinical care and into physicians' practice. And that is one, how well do these algorithms actually perform across a variety of settings of care and different types of patient populations? And two, if one of these algorithms were to be deployed in a hospital setting, what is the impact to that hospital? Does it just create more noise and burden for the physician, or does it actually help identify patients earlier? And so these two questions are really the foundation for the partnership that we recently announced with the American Heart Association, where we are working closely with them as the technology and data platform partner to be able to help algorithm developers understand how well their algorithm is performing in real-world clinical settings and then be able to understand the clinical and economic benefit of that algorithm if it were to be deployed in different hospital settings.

And so really, where we see the potential is bringing this technology, a lot of which already exists, but really able to show what the clinical benefit is for healthcare systems, for physicians, and most importantly, for patients, if these algorithms were to be deployed in the real world.

Dandelion's platform sits at such a nice place to be able to power the analysis of performance, of impact, and really help these large institutions make better decisions as it relates to bringing technologies in that ultimately support patients.