How AI Is Shaping Preventive Health, Diagnostics, and Personalized Care (Live from Biohackers World Los Angeles)

**Brooke Gramer** (0:01)
Hello and welcome back to How I AI. In this special episode, I'm taking you with me to Biohackers World in Los Angeles. It's a gathering of innovators, practitioners, founders and health pioneers exploring the future of wellness, longevity, diagnostics, and human performance. This two-day event brought together thousands of attendees, dozens of speakers and a wide range of companies working at the edge of health optimization and emerging technology. I had the chance to sit down for a series of conversations that all pointed to something bigger. We are in a major transition moment in health care and personal wellness where AI is already being used to help interpret massive amounts of data, support doctors and clinics, personalized care, and in some cases, catch life-threatening issues earlier than traditional systems might. In this episode, first you'll hear my interview with Paul Denslow. He's the CEO and co-founder of Intus Bio, the company behind GutID. We'll talk about why the microbiome might be one of the most important frontiers in health data. We get into the scale of the data problem, why the microbiome has been so difficult to interpret and how AI is helping make the next generation sequencing and microbiome analysis more actionable for prevention and personalized care. After that, I grabbed a coffee with Dr. Stephanie Tran, the founder of Modern Human MD. She shares how her clinic is using AI-powered heart scans to detect dangerous blockages before they come catastrophic. She shares the story of a patient who used the scan and caught something that may have otherwise gone undetected until it was too late. I also got the opportunity to catch back up with David Korsunsky, the founder of Heads Up Health. I first interviewed him back in November at Biohackers World Miami. He shares what's changed at Heads Up Health in just the past few months. He breaks down what current research is showing about consumer adoption, physician usage, and why health care might be reaching a real inflection point with AI. And last but not least, I had a very candid and human conversation with Rori Montali. She shares how she built her AI clone, and trained it on her own thinking, voice, and intellectual property, and how that tool has now become a real support system for her focus, decision-making, and also navigating ADHD and her business and everyday life. What I love about this episode is that it brings together both ends of the spectrum. You'll hear about advanced diagnostics, clinical use cases, and the future of AI medicine. But you also hear something much more personal. How this technology can support the way we think, process, and organize care for ourselves in real life. And a quick note before we dive into these conversations, they were recorded live from the Expo floor. So you may hear some background noise throughout. That's part of the energy of being there in real time. I'm bringing you into the room with me. All right, let's dive into my first conversation with Paul now.
We live in a time today where we can track everything, our steps, our sleep. And that might not necessarily be the answer to truly understanding our bodies. And it really rises the question of, are we collecting numbers or are we truly understanding the context of our data from our wearables and our personal devices? Today I'm joined by Paul Denslow. He's the CEO and co-founder of Intus Bio, the company behind GutID. You might have heard of them when it comes to microbiome testing. And the microbiome is a key driver of health outcomes. Paul, thank you so much for being here. I'm so excited to host you today.

**Paul Denslow** (4:01)
Thanks for having me. It's exciting to be here. Thank you.

**Brooke Gramer** (4:03)
Yes. So, let's dive into that first point I just made on how we have all this data nowadays. And people might not necessarily be really understanding how to interpret it.

**Paul Denslow** (4:15)
Data without analysis is pretty useless, obviously.

**Brooke Gramer** (4:18)
Yes.

**Paul Denslow** (4:19)
So, you have to interpret the data and interpret it in a way which is useful. And obviously, as we know, we've gone from 2020 pre-COVID, post-COVID, we've gone into a world where we didn't do any at-home testing virtually. There was no wearables really of any real note.
Certainly not in sort of the mainstream public. And now, there's a world where I'm wearing a ring which is tracking certain health data. For me, people are wearing smart watches and so on. There's an abundance of data. And then what do we do with that data is obviously a key thing. And obviously, the data that we look at is in the microbiome data. So, it's kind of layers and layers and layers of problem data. So, I think getting the right data in the right fashion first, and then we start to build the tools, develop the tools to apply to that data to make it useful and actionable.