Agentic Medicine: How AI Saved a Life and Built CureWise
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A wildfire destroyed his home and accidentally saved his life. When doctors missed an aggressive blood cancer, Steve Brown built an AI swarm that caught it in minutes and helped tailor his treatment. Now, he's turning that end of one breakthrough into cure-wise for everyone. Welcome, humans, to the Neuron AI Explained podcast. I'm Corey Knowles, joined here as always by my co-host, Grant Harvey. How are you today, Grant?
Doing good. Doing good. How are you doing, Corey?
Good. I'm excited about this call. Today we're talking with Steve Brown, founder and CEO of CureWise. And why Steve? Because CureWise is one of the clearest, highest stakes examples of agentic AI moving from demos to real decisions in medicine. And we think that is awesome. Steve, how are you today? Great. Great to be here. Good, good. We're sure excited to have you. This is a topic that's near and dear to both of us, and we're regularly discussing, you know, kind of our hopes for AI and healthcare in the future. And it's nice to see a project coming out of the lab and into fruition, what you're working on here.
Well, when you're doing it for yourself, when you're the first customer, you kind of know what you need and you kind of can keep iterating it and improving it because you're customer number one. It's not that I really wanted to be customer number one for a cancer AI application, but it is really a phenomenal use of AI I have found based on just using it for myself. You play the cards you're dealt, right? Yeah, well, I mean, I was doing a lot of different things in AI. I was throwing a lot of spaghetti at the wall and the challenge was it was all sticking. So it was like, what am I going to do? So this wasn't the mission I chose. It's the mission that chose me, but it is really a phenomenal use of AI because cancer is so complex and everybody's cancer is different.
And it's the first time we've had a technology that can handle the kind of the level of complexity that we need. And it's been very, very instrumental for me in understanding my own condition and helping me figure out how to get the best possible treatment that maps to my own kind of genetics of my own cancer. And if a million people get the latest COVID variant, that's a million people with the identical pathogen. But if a million people get cancer, that's a million different genetically unique diseases because it's your own unique gene. mutated in some unique way. So we kind of lump things together and say it's all cancer, but it's really it's a million different diseases. So it's very, very complex.
And AI is the first thing that we've had that can just deal with so many variables at the same time.
Let's kind of start with your background here. You've had quite a journey from Silicon Valley entrepreneur to filmmaker and now back to tech with CureWise. Can you kind of explain how that all went down and what brought you here?
I studied physics and computer science at Stanford and went right into Silicon Valley startup world looking for the biggest problem in the biggest industry to work on. That kind of led me to healthcare and chronic care technology because healthcare is the biggest industry and the biggest problem is that 70% of healthcare is all the stuff that kind of comes down to chronic disease and our own decisions and our own behavior. But I was always working on applications for somebody else's problem. Yeah. So it was you know, it was we were doing the things that made a lot of sense. We did a lot of the foundational work that led to telemedicine and remote patient monitoring and chronic care. A lot of a lot of things that are kind of standard today.
We did. We have all the the arrows in our back and all the scars to show for being one of the pioneers of that field and even getting our. our work into an act of Congress to kind of legitimize the whole field. But that was always, you know, that was a big need, a big unmet need, but it was for other people. I decided I didn't want to do another healthcare deal because life's too short for
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