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

I went live at Biohackers World Los Angeles, bringing you conversations from the expo floor at the intersection of AI, health tech, diagnostics, and personalized wellness.

First, I sit down with Paul Denslow, CEO and co-founder of Intus Bio, the company behind GutID. We talk about the microbiome as one of the biggest untapped frontiers in health, why collecting data is not the same as understanding it, and how AI is helping decode massive sequencing datasets to support prevention and more personalized care.

Then I grab coffee with Dr. Stephanie Tran, founder of Modern Human MD, who shares how her clinic is using AI-powered heart scan technology to identify cardiovascular risk earlier and more precisely. She walks through a powerful patient story.

I also catch up with David Korsunsky, founder of Heads Up Health, who I first interviewed at Biohackers World Miami. He breaks down the current state of AI adoption across patients, doctors, clinics, and the broader healthcare system.

Finally, I have a candid conversation with Rori Montali a speaker and healer who shares how she built her own AI clone to support her thinking, business, focus, and decision-making. She opens up about how this tool has helped her navigate ADHD.

From AI-powered heart scans and microbiome testing to clinical AI agents and even personal AI support for focus and ADHD, these conversations show what happens when artificial intelligence moves beyond tutorials and into real human use cases.

🔥 Topics we cover:

• How AI-powered heart scans are helping detect cardiovascular risk earlier 
• Why microbiome testing may become central to preventive healthcare 
• How AI is helping researchers and clinics interpret massive health datasets 
• What current adoption trends reveal about AI in healthcare 
• Why doctors are ready for AI, but large systems are slower to move 
• How AI agents are beginning to support real clinic workflows 
• What it looks like to build a personal AI clone for focus, business support, and ADHD 

🔗 Connect & Learn More:

• Biohackers World: https://biohackers.world/ 
• Dr. Stephanie Tran: https://www.modernhumanmd.com/ 
• Cleerly heart scan technology: https://cleerlyhealth.com/ 
• Intus Bio / GutID: https://gutid.com/ 
• Heads Up Health: https://headsuphealth.com/ 
• Rock Health Consumer Report: https://rockhealth.org/insights/
• Rori Montali's community True Connect Rorimontali.com

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Content is for educational purposes and does not constitute medical advice or a doctor-patient relationship.

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"How I AI" is a concept and podcast series created and produced by Brooke Gramer of EmpowerFlow Strategies LLC. All rights reserved.

Transcript

Brooke 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 healthcare 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 Gut ID. 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 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 Headsup 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 healthcare 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, trained it on her own thinking, voice and intellectual property, and how that tool has now become a real support system for her focus making and also navigating A DHD 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. Alright, 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've 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, Brooke for having me. It's exciting to be here. Thank you.

Brooke 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

I mean, data without analysis is, is pretty useless obviously, right? Yes. Yes. So you have to interpret the data and interpret in a way which is useful. Yes. And, and obviously. As we know we've gone, you know, from sort of 2020 pre COVID, post COVID mm-hmm. We, we've gone into a world where we didn't do any at home testing virtually.

Brooke 4:34

Mm-hmm.

Paul Denslow 4:35

There was no wearables really of any real notes. Certainly not in sort of the mainstream public. And now there's a world where, you know. I'm wearing a ring, which is tracking, you know, certain health data for, for me, I'm, people are wearing smart watches and so on.

Brooke 4:49

Yes.

Paul Denslow 4:50

There's an abundance of data and then what do we do with that data? Mm-hmm. Is obviously a key thing. And obviously the data that we look at is in the microbiome data, so it's kind of, uh, layers and layers and layers of upon data. Yes. So I think getting the right data in the right fashion first, and then we start to apply the, build the tools, develop the tools to apply to that data to make it useful and actionable.

Brooke 5:10

So how do you make your data useful and actionable? Say I'm a really active person who goes to test once a year, twice a year. What am I missing when it comes to interpreting my own data?

Paul Denslow 5:22

Yeah, I mean, there's obviously a bit of an open-end question in terms of mm-hmm. What data are you getting? What are you testing?

Brooke 5:27

Right.

Paul Denslow 5:27

You know, what's the quality of tests you're using for what you're testing?

Brooke 5:31

Okay.

Paul Denslow 5:31

How do you prioritize what you're testing? So for us at in intus bio with gut id mm-hmm. We, we consider the microbiome be one of the most important things to be testing. Yes. Because ultimately the human body has 22,000 human genes. You've got 2 million bacterial genes. Mm-hmm. And these bacterial genes and the bacteria that, that, um, has them in the, in the genome are all mainly concentrated in the gut. There's multiple microbiomes in the body, such as skin microbiome, oral microbiome, and so on. But the gut is really the, the main concentration of bacterial of bacteria and bacterial DNA in the body. Mm-hmm. And you know, you think about that you have a hundred times more, you know, bacterial DNA than human. DNA, your human DNA is fixed. Your bacterial DNA can be changed. Yes. And if you ask most people, well, how much of cancer comes from inherited human? DNA? People think, well, you know, 50% kind of thing. But actually it's less than 10%. And that makes sense because over, you know, 20,000 plus generations of humanity, DNA is pretty well optimized. Like if you had an ancestor who had major predis disposition to one disease or the other. Yes. Then you wouldn't be here because that would've express itself. And your line would've died out a long time ago. So, human DNA is pretty well optimized and this bacterial DNA, this bacteria in the body is hugely important. We know it plays a role across a huge number of health outcomes. Mm-hmm. Different cancers, other chronic diseases, and really there's just a big gap of data. Yes. So we have great testing in other places. Human DNA is very well is easy, easy to test for that bacteria and a complete picture of that. It's very hard to test for. Mm-hmm. Um, the been available up until now have not done a complete job of that. And then Intis Bio came up with a brand new technology platform called Titan One, and it's a very good use case of ai. Because we have a new source of data, a new assay, a new test, a new platform which is creating very high quality data. But then you have to have new tools, which thankfully in the age of machine learning ai mm-hmm. We have very powerful tools to then interpret and make sense and analyze that data. Um, so it's, it is an exciting time.

Brooke 7:30

What myths do you think there are around the microbiome?

Paul Denslow 7:34

One, one is that basically it's sort of, it's almost like mythical in its own sense. Mm-hmm. Like it's, it's one of these things like, it's so complicated or it's almost magical. We can't possibly. Exactly. Track it, influence it, control it. It is what it is. And you know, really the microbiome is just a data problem, right? Mm-hmm. Um, the human genome known project was a big data problem. Yes. We had to produce the data, analyze the data the microbiome,'cause it had so many more genes. Too many genes was 22,000 genes, like I mentioned. Is a exponentially larger data problem. And it, it took a new tools, which we developed a Intus Bio. My co-founder Mark Driscoll, who actually played a role in the development of next generation sequencing back 20 years ago. We have new tools, um, both in the chemistry and the lab, the wet lab part, and then new analysis tools to prove that it is just a data problem. Mm. And people get very, um. You know, sequencing is a very kind of like cons of people get, kinda get caught up in and don't understand, but it's actually very, very simple to understand.

Brooke 8:27

Yeah.

Paul Denslow 8:28

A genome contains genes. Genes are made up a basis. Bases are acs, GS, and T's.

Brooke 8:34

Okay.

Paul Denslow 8:34

And when it's in you, either your genome or the bacteria within you in the bacterias genome, it's basically that data stored in a biological format.

Brooke 8:42

Mm-hmm.

Paul Denslow 8:42

All that sequencing is, is converting it to a digital format. And so what's been happening historically because there was so much data or so many so much bacteria to look at the conversion of that biological to digital sort of big drop in the resolution of that data. Yeah. The quality of that data.

Brooke 8:57

Yes.

Paul Denslow 8:58

And so we had, that's when Intus Bio came from, is to then have new new tools, new technologies to make that conversion process very accurate. Mm-hmm. And so the core, the first one we solved for was. Generating high resolution microbiome data. Wow. The second problem we solved for was like analyzing that data to make it action more useful.

Brooke 9:15

Incredible. Like you mentioned, there's so many rapid technological advancements with testing. How should someone approach with starting to test their microbiome health? Where do they begin?

Paul Denslow 9:28

Well, um, and excuse the plug, but go to gut id.com to, it's the first place to begin to, to test your microbiome. But basically, no, I mean, the, the key thing is. You have to have a true microbiome test. Mm-hmm. You have to have a test, which can see the entire microbiome, the whole ecology.

Brooke 9:42

Okay.

Paul Denslow 9:42

If you go to the forest and you just count, you know, two or three species of trees, well, how do you know if the forest is healthy or not? Mm-hmm. You gotta see the whole forest. See the whole ecosystem, which is what's so unique about gut id. So start with a high quality test, you know, and gut ID is really, is truly unique. And then it has recommendations. It will tell you how to improve your score. Mm-hmm. How to improve your microbiome health. Start with that. If you have other testing programs either do your own research to kind of bring that all together. There's some AI tools emerging now to kind of bring all that data together. Mm-hmm. Um, work with a clinician as well. You know, that's, they do have expertise in interpreting that as well. But yeah, we're very much a data and science driven company. Yes. And we're giving people the data to then. You know, help improve their own health outcomes, either through fixing a problem they have now. And usually that's kind of through like gut function, IBS, things like that. Or perhaps they're carrying problematic bacteria which may only develop into disease over time. So being aware of that before we get the disease is kind of a key thing that we, uh, we think about prevention, disease prevention

Brooke 10:42

data really is king when it comes to ai. Can you share a case study of people finally being able to put the pieces of the puzzle together now that we have AI and all this data?

Paul Denslow 10:53

Yeah, absolutely. When

Brooke 10:53

it comes to microbiome.

Paul Denslow 10:55

Totally. So that's a core part of what we do.

Brooke 10:57

Mm-hmm.

Paul Denslow 10:58

So every sample in, and we have, you know, like gut microbiome samples, which, you know, obviously, uh, oral microbiome samples. These samples generate 50 million data points. Yes. So if you then have a study for a certain disease mm-hmm. And we look at, we're very focused on pancreatic cancer, colorectal cancer, things like that.

Brooke 11:15

Mm-hmm.

Paul Denslow 11:15

You're gonna have hundreds if not thousands of patients you're analyzing. So 50 million times, hundreds of thousands means you're into billions of data points very, very quickly. Mm-hmm. And up until now, because we haven't had the high enough resolution data, we haven't had a chance to say, well. You know, what is it? Is it, is it something truly actionable

Brooke 11:34

mm-hmm.

Paul Denslow 11:35

That we can extract from these data sets to have a real tool, a diagnostic for disease prevention for certain diseases? Yes. So, so the power of AI machine learning specific to us, which is a big part of what we do, is allowing us to decode the microbiome, decode the forms of dysbiosis, decode, the, the bacterial profiles, which correlate. Or potentially drive certain disease outcomes. Wow. So again, you know, given the number of data points that we're talking about if we want to decode pancreatic cancer, we have to have, you know, dozens if not hundreds of pancreatic cancer, of patient samples at different stages of disease. Mm-hmm. We have to have, um, hundreds if not thousands of control samples. Mm-hmm. You then have to look for through lines of the within the disease patients, which do not overlap with the control patients or the healthy patients, and then you're looking for both. Presence, I, hey, these bacteria correlate with the disease, progressing or developing and absence. Because we find sometimes in the healthy people, there are bacteria which need to have protective qualities to also prevent them getting the, uh, the disease. So without the power of ai. And AI is really, truly fantastic at going through enormous data sets. Yes. This just wouldn't be possible without the quality of data that we're generating. This wouldn't be possible either.

Brooke 12:53

Well, Paul, thank you so much today. I love the advancements of what's coming through this is so empowering and I'm excited to dive deeper with you and join your booth here so thank you so much for your time.

Paul Denslow 13:04

No, thanks. Likewise. Thanks for having me. It was good fun.

Brooke 13:07

Stephanie. Good morning. How are you? Good morning.

Stephanie 13:10

I'm doing great. How are you?

Brooke 13:11

Wonderful. We are day two at the Biohackers world, Los Angeles yesterday I had the opportunity to come by your booth and try out some really cool health tech called Exo Mind. Yes. And you and I were just talking a bit deeper today and you shared a really exciting use case on how you are using artificial intelligence. So before we dive into that, could you share with listeners a little bit about yourself as the founder of Modern Human md?

Stephanie 13:45

Absolutely. And thank you for giving me the opportunity. It's been just so nice having a coffee with you and chatting this morning in real time. So I'm Dr. Stephanie Tran, founder of Modern Human md. We're excited to recently bring our Brain Health section to the office, which is known as Exo Mind Santa Monica.

Brooke 14:03

Mm-hmm.

Stephanie 14:03

So I'm a physician of over 13 years board certified in family medicine. As a physician, I've been always looking at the different pain points patients have had. And it really frustrated me when I was a corporate physician that patients were really suffering out there and there wasn't really viable solutions for'em in conventional medicine.

Brooke 14:21

Yeah.

Stephanie 14:22

So I founded Modern Human MD about three years ago to think outside of the box and to really help people to identify parts that they were struggling with. Mm-hmm. So overall mental wellness, heart health, and looking at their genomic blueprint to find ways of what exact medications do they need. Mm-hmm. Supplements and ways to ward off disease before it ever happens.

Brooke 14:45

Fascinating. And so what really caught your interest to want to get into the advancements of health technology and bring you to the intersection of where you are now?

Stephanie 14:56

I think definitely just my own personal struggles as a physician and patient as well. Trying to navigate the healthcare system where maybe you have a problem and then you have to wait weeks to months to get a diagnostic test, then another weeks to months to see a specialist, and then another weeks to months to even get a diagnosis to figure out what's wrong with you.

Brooke 15:15

Right.

Stephanie 15:16

And I think that process overall is just demoralizing and day after day takes by of just feeling really cruddy low energy and kind of losing faith in the medical system altogether. And I think navigating for myself as a first time now entrepreneur, business owner, first time mom, it drains and takes a lot of your energy. Mm-hmm. And thinking now in my forties, I'm like, gosh, I wish I had the energy of my thirties. And just looking for new solutions personally to benefit myself and my friends and family. And of course my patients, which is an extension of that.

Brooke 15:48

Beautiful. We are all very like-minded here. Yes. So let's dive into the biggest question today. How do you use AI specifically if you could share the use case, in your clinic that you use AI for?

Stephanie 16:01

Yeah, absolutely. So we were really excited to partner with another third party company to use AI heart scans for our primary care patients. So I'll give you a couple case study examples. I had a gentleman who was in his fifties, very active, swims every single day, goes on hikes and has had asthma since he was a child. So he was reporting that during his swim he was starting to become just a little bit more winded and he was thinking maybe we were thinking it was his asthma first. So we increased his inhaler usage and he's like, I'm still not feeling that much better. He didn't have the typical symptoms of heart disease that a lot of patients will exhibit, which is usually like chest pain or dizziness.

Brooke 16:41

Okay.

Stephanie 16:41

And so I said, you know what? We are offering this AI heart scan that's non-invasive. You go into a machine for about five to 10 minutes and it's gonna take a look at your coronary arteries. So those are the two arteries that supply your blood with oxygenated blood. It's your heart's own blood supply. Okay. And then it takes a look at something called atherosclerosis, which is the plaque that builds up on your heart over time. Mm-hmm. That leads people to later on have to have open heart surgery or even stents, which are very inventive and aggressive interventions. Yes. So we wanted to answer the question one, does he need to be on a cholesterol medication? And two, was it maybe his heart that was contributing to his symptoms of the shortness of breath and interfering with his ability to perform his activities.

Brooke 17:23

Wow.

Stephanie 17:23

So we went in, got the heart scan done. We got the results within a couple of days, and it showed he had a 98% blockage of one of his major vessels.

Brooke 17:32

Wow.

Stephanie 17:33

So had he not gotten the scan and maybe another year went by, he might have just healed over and passed away, which would've been shocking to all of us. We were able to get him into a cardiologist. Get him a stent intervention and now he's living his best life symptom free and prevented a heart attack with the AI technology.

Brooke 17:50

And how long has this technology been around? Is it newer?

Stephanie 17:53

It is definitely newer. It's been around for a couple years, but many people don't know about it. Mm-hmm. And it's not something that's offered in most primary care offices.

Brooke 18:01

Right.

Stephanie 18:01

So most primary care doctors will only offer something called a traditional CT coronary calcium scan. Mm-hmm. That only gives you part of the story that only looks at calcified plaque. Which actually is not the plaque that's responsible for causing a heart attack. It's a soft plaque that actually breaks off and then blocks the vessel from its critical blood supply. So this AI technology looks at both heart and soft plaque. It's able to quantify it to an exact number, and then it's also able to tell you if there's any critical blockages well before you have symptoms so that you can be extremely proactive for your health. Or if there is a critical blockage to help me as a doctor navigate and get you into the specialist right away.

Brooke 18:40

Wow, that's incredible. And so does it help you interpret it? Does it give a 3D scan? Like what do the results look like when you go through the process?

Stephanie 18:48

Absolutely. It gives a very patient friendly report that the patient can then take with them, mm-hmm. To their cardiologist as well as for me as a doctor. It does a lot of different pictorial. So it does a 3D diagram where it actually shows all the vessels of the heart and it color codes it based on if things are mild, moderate, or severe in regards to heart disease. And then also is able to capture your individual anatomy and it takes a look at the actual blockage of the vessel.

Brooke 19:15

That's incredible. I'm so happy we met today.

Stephanie 19:18

Me too. Thank you so much for taking the time and asking me about it. I hope more people know about Thoroughly, which is a proprietary heart scan we're using in our office and offering at Modern Human MD

Brooke 19:29

So if listener's wanna reach out to you and get in touch, how can they connect?

Stephanie 19:33

Absolutely. The best way is through our website, www.modernhumanmd.com. Uh, we also have an additional website dedicated to our brain wellness sector, which is www.exomindsantamonica.com. Mm-hmm. Or they can give us a call here at the office and the best number to reach us at is 3 1 0 3 1 5 0 2 3 1 and get in touch.

Brooke 19:59

Wonderful. And just my final question is if people are not local to California, how can they find a provider that uses this technology that you do?

Stephanie 20:07

Absolutely. So it's through a third party company called Clearly. Mm-hmm. C-L-E-E-R-L-Y. Mm-hmm. And there are various providers throughout the United States who do offer these Cleerly heart scans. Okay. So I really recommend reaching out to our office or looking up Cleerly in a provider who offers this so that everyone can benefit. From Heart Health and Prevention.

Brooke 20:27

Thank you, Dr. Stephanie. I really appreciate your time today. Thank

Stephanie 20:30

you so much. It's been so lovely chatting with you.

Brooke 20:32

If you're tuning into this podcast, you're most likely an AI advocate, and you may have also wondered how to support your body against the invisible stress of EMFs. Think wifi, cell towers, or hours in front of your laptop. Leela Quantum products are lab tested in triple blind studies and are proven to help harmonize and neutralize EMF signals. Their products are the few things I felt a real energetic shift from. I personally wear their quantum energy necklace daily. And if you're someone who cares about optimizing your energy and nervous system like I do, explore their offers with my exclusive discount link below. David, so wonderful to see you again at Biohackers in Los Angeles.

David 21:14

Yeah, the follow on from our last meeting in Miami Beach,

Brooke 21:18

November.

David 21:19

Yeah.

Brooke 21:19

Yes. November was not that long ago, but in AI and tech, it's. It can feel like a very long time. Because things move so quickly. I love this opportunity to catch up with you I didn't get a chance to attend your talk this morning, but I would love to hear what's happened since we last spoke. I know you had some things to share about the agentic marketplace, how, healthcare clinics and, individuals are adapting this technology and reacting to it and integrating it. So if you can touch on those and anything else that you feel like listeners would want to know or learn from. All you've been up to with Heads Up Health in the last 10, five months.

David 22:00

Thanks Brooke. When we talked in November as a company, we were just starting to rebuild Heads Up as an AI native platform.

Brooke 22:07

Yes.

David 22:07

All of the data is connected to a large language model. So we're now here in end of March. So. We've made a lot of progress on the development of our system, and perhaps the most exciting piece is that we've now got our first custom AI agents running inside of medical clinics.

Brooke 22:27

Mm-hmm.

David 22:28

Automating some of their hardest. Problems and also some of their most mundane, repetitive, trivial things that can be automated and give everyone in the organization back time. Mm-hmm. So the more customers we talk to and we start to see patterns, and then when we see patterns, we build the software so the exciting part for us is we have our first real AI agents in production helping doctors. Huge step. In my talk, I presented a few updates. One was an update from Rock Health. Rock Health is one of the longest running analyst firms in this industry. And they've been publishing. Industry research on digital health trends for 10 years, and they did a survey of about 8,000 consensus match people about their attitudes towards AI as an individual patient. Independent from the doctor. And they found that one in three are already using an AI tool for their health.

Brooke 23:30

Great.

David 23:30

So about a third of the people surveyed, they found that chat, GPT was the most popular platform. Of the people using it, they found that 60% were using it at least once a week, sometimes more. Consumers are going all in here already.'cause it's really helpful.

Brooke 23:49

Yes.

David 23:50

There was some real objective data on 8,000 people and published research. So I showed some of the results from the rock health report.

Brooke 23:58

Okay.

David 23:59

And then I showed some data from the 2025. Physicians AI report. Mm-hmm. And they did a similar study, but only doctors, and they asked doctors about their attitudes. The adoption was even higher. It's about 64% of doctors are using it every single day. Wow. It's about double the consumers. The biggest frustration for their doctors is that they're employers. The hospitals and the health systems

Brooke 24:26

mm-hmm.

David 24:27

Are very bureaucratic.

Brooke 24:28

Yes.

David 24:29

They're very security sensitive, so even though the doctors want to be able to use this in a clinical setting, the organizations are very slow to move. So this is helping doctors, but it's moving too soon. Was the general feedback from the. Clinicians.

Brooke 24:47

Okay.

David 24:47

I shared an update from the FDA announced earlier this year in Las Vegas at the Consumer Electronics Show fast tracking approvals for AI powered tools and diagnostics. My summary was we've got a rare moment in technology where it's coming bottom up from the end user, top down from the FDA. The doctors are on board. So it's just coming at all levels very, very quickly. So it's moving be fast.

Brooke 25:19

Yes.

David 25:20

People are excited about it. I, I shared a quote from one of the doctors in the rock health study. He was from UCSF.

Brooke 25:28

Okay.

David 25:28

And he was cited in the rock health report. He said Our healthcare system is fundamentally broken. I'm cautiously optimistic about ai. There's nothing else we have that can help this many things so fast and so effectively.

Brooke 25:47

Yes.

David 25:48

So he basically said, this is the biggest experiment in human history around healthcare. We don't exactly know. How well this is gonna turn out.

Brooke 25:59

Yeah.

David 25:59

But we have a broken system and this is our best shot.

Brooke 26:03

Is that study public? Can I share it?

David 26:05

Yeah, the Rock Health 2025 Consumer Health Adoption Report.

Brooke 26:08

Okay.

David 26:09

And just googling that, we'll pull it up.

Brooke 26:11

Great.

David 26:11

And if you want it exactly, I can send it to you.

Brooke 26:14

Wonderful. Well, thank you so much for catching me up. It was great to run into you again. You too, Brooke And see all the continued success with heads up health.

David 26:22

Thanks. Great to see you again.

Brooke 26:25

I am here with Rori Montali we're gonna do some interesting work around craniosacral therapy. But before we get into that, I'd love to hear how you support your business with ai.

Rori 26:36

So I have a clone. I have a clone that knows me inside and out. And um, it's a special project that I put in all my instructions. Mm-hmm. Um, recently I just put in that I'm having some, ADHD and focus areas, and now they're working with me, a different strategic plan. And they keep me in such a way that knows me more than anyone. cause when I say, well, do I wanna add this to my plate? They go, oh, it's in alignment. And this is why. Yeah. And this is how we're gonna incorporate it. And I love my clone.

Brooke 27:07

Where did you build your clone?

Rori 27:09

Um, I did a program with Tony Robbins and, and Dean. Oh. And they had as an amplifier club thing that they were doing. They went in and they explained, my intellectual property of me where I, I downloaded all my projects. Mm-hmm. And it strategically tells me, how to function. Mm-hmm. Like what works for my brain from the morning. And it'll tell me what affirmations that will be good for me. Wow. It will call me out when I say I'm not doing what I'm supposed to.

Brooke 27:35

A lot of people are throwing around this term neurodivergent. How has AI supported your ADHD?

Rori 27:41

First thing I would say with ADHD is to get diagnosed, not by just someone telling you your symptoms. Mm-hmm. Do the actual physiological testing to see if the eye pattern could press the button to see how long you tune out or tune in. Oh, so there's two parts of ADHD. I'm only selective. I'm not both right. So that means I could pay attention. And sometimes if there was like, I'm here with you, but then the dog is barking and the sirens are going off, my nervous system would be like scattered and it wouldn't be able to just be here and be in reactive.

Brooke 28:17

Yeah.

Rori 28:17

So with the ADHD now, and I'm so blessed to know I worked on it just this past week. I went to a investment conference and all my clients were there and then I called my clone and I went right to my clone. Clone. I wanna start a group called True Connect, or can you help me with the name? Mm-hmm. Can you help me with the image? Can you let me know what my mission is? And right there in that 4.5 seconds, we had 13 people within an hour and 10 minutes.

Brooke 28:46

Wow.

Rori 28:46

So my clone is like that on an instant, Hey, I got this idea. They'll say, okay, bring a, a signup sheet today when you're getting interviewed. Please invite people on your WhatsApp and get them the UR code. Yeah, so they made me a UR code, and they made all of my social media on four different social medias on one page, so anyone can reach me at any time. I love my clone.

Brooke 29:10

I love interviewing, especially women on how they're using AI in such an empowering way. And also there's always a ripple effect in our communities.

Rori 29:19

And I would love to get your audience codes to so many resources so true Connect is just the true connect on WhatsApp.'Cause we're gonna

Brooke 29:31

Be show notes. So thank

Rori 29:32

you. Show notes.

Brooke 29:33

Thank you so much, Rori. I hope you enjoyed this special episode from Biohackers World in Los Angeles. If one of these conversations stood out to you, I'd love to hear about it. I'll link the resources and reports mentioned in today's episode in the show notes so you can explore them further. And if you're hosting a conference, live event or panel and want thoughtful media coverage, curated interviews, or a moderator who can translate complex innovation into a grounded human conversation, feel free to reach out to me. And if this episode gave you a new perspective, send it to a friend or share it with someone who is curious about where AI and health are headed. And make sure you're subscribed so you don't miss what's next. See you on the next episode. I hope today's episode opened your mind to what's possible with AI. Do you have a cool use case on how you're using AI and want to share it? DM me. I'd love to hear more and feature you on my next podcast. Until next time, here's to working smarter, not harder. See you on the next episode of How I AI. Have you just started exploring AI and feel a bit overwhelmed? Don't worry, I've got you. Jump on a quick start call with me so you can walk away with a clear and personalized plan to move forward with more confidence and ease. Join my community of AI adopters like yourself. Plus, grab my free resources, including the AI Get Started Guide. Or try my How I AI companion GPT. It pulls insights from my guest interviews along with global reports, so you can stay ahead of the curve. Follow the link in the description below to get started.