Here's a strange fact about modern medicine. We can now interpret the body far better than we can actually measure it. We have AI systems that can read a scan, weigh a diagnosis, even reason through a hard case at a level that would have looked like science fiction a couple of years ago. But here's the thing, the data that we feed those intelligent systems is really thin. It's a lab drawn once a year or a blood pressure taken at a physical, maybe some food logs. It's a handful of numbers that are supposed to stand in for the living dynamic system that is the human body. I mean, my Hyundai EV is continuously measuring its health across dozens of vectors. Right now, humans can measure two things continuously or in real time. Glucose and heart rate. But that's starting to change and we wanted to talk to the people who really understand how and what happens when it does. So, starting next week, we're launching a new series inside the podcast we call Next Level. We'll be alternating it with our regular health focused episodes. And while those tend to dig into what we can do for our health today, this one is going to look further out at a shift we think is coming, but isn't really being discussed in a cohesive way yet. Here's the thesis. The direction the hardware is headed is pretty clear. There's a wave of sensing technology moving out of the lab that will let us measure far more of the body. More molecules, more signals, either continuously or at least frequently enough to understand change over time. that's coming. This is going to generate an enormous amount of biological data we've simply never had before. And the reason that suddenly matters, the reason that's not just more noise is that we finally have an intelligence layer capable of making sense of it. And when our ability to measure the body catches up to our ability to interpret it, that's the fundamental shift for how each of us understands our own health and for the entire system built around it. Right now, the threads around this future are pretty scattered. the sensor engineers, the AI researchers, the clinicians, the people thinking about how hospitals and insurers would even function in a world like this. They're all mostly having separate conversations. This series is our attempt to pull those threads together so we can all start imagining concretely how our health and our healthcare is about to change. And man, am I excited about the people I'm going to talk to about this, like Dr. for Robert Walker, our first guest next week, who chairs the department of medicine at UCSF and has written two fantastic, deeply reported books about medicine's previous digital transitions. He'll tell us what we've learned from those shifts and why he's still optimistic about AI and medicine. For Dr. Michael Snyder, who runs the department of genetics at Stanford and has spent years already wiring himself with every sensor he can find, he'll share what he's learned about early lessons on continuous measurement. Dr. Jersey Obermeer, a physician and machine learning researcher at Berkeley whose work exposed how an algorithm used on tens of millions of patients was actually biased. He'll help us see where big data sets like this can mislead us and that's just a sampling. None of this is settled and some of it will be harder than the optimists admit, but the shape of it is coming into view and we want to help you understand what it means. So stay tuned for next level.