
Basecamp's Phil Lorenz on Combining AI With Biodiversity Data - Ep. 223
NVIDIA AI Podcast
Exploring Future Genetic Editing and Real-Time DNA Monitoring
Exploring futuristic possibilities of real-time DNA mutation monitoring and rapid correction, alongside advancements in therapeutics and gene technology.
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Speaker 2
You know, I'm abstracting to the level that I can comprehend. Absolutely. So the last bit that you said, I was thinking, so my kids, maybe my grandkids might be able to prompt a model and edit their genes or rewrite their genes. And I know it's maybe not quite like that, but is that
Speaker 1
a future we're headed towards? I think, I mean, I live in Europe, so there's always a lot of speculation to think about maybe. So I don't know. I come from this all of it. No, but I think joking is that I think one of the things I can definitely imagine is that if the way we monitor our DNA and our mutations and the way we can address these mutations, let's say in 20, 30 years time, is something we can do in real time, I can imagine, where because of sequencing in the body as we live and breathe, where through some device, we detect a harmful mutation and being able to fix it within two hours. This sounds crazy. But I do think this is kind of where this is going in 20, 30 years. And that's kind of the science fiction scenario for therapeutics and gene technology. Amazing. NVIDIA Inception, you're
Speaker 2
part of it. I'm not asking you to plug anything, but how's that been? And being sort of a startup on the leading edge of life sciences must be in some ways similar to other startups with similar concerns around growth and funding and keeping things running and all that kind of stuff. But I'm sure there's something unique to being a startup working on discovering novel science. What's that like and what's it been like working with Inception?
Speaker 1
It's been amazing. We've been working with NVIDIA for two years, almost two years now. I think it's really exciting because a lot is happening. Yeah. And so, I mean, sometimes I open, you know, bio archive or pop made or something like damn, can everyone please stop publishing? Right, right, right. There's just so much happening. But I actually think it's exciting because everyone has their strengths, everyone, and by having these networks of lots of life science companies, and everyone has a different product, they have a different strategy. And so actually, some people think like, oh, are these startups all competitive with each other? And in some cases, maybe, but I'm actually a lot more excited by the fact that what's really happening is we're all growing the field. We're all growing the market. Right. And so, some people offer a software, some people offer an asset, some people will offer a service, whatever it might be. And so, actually, the products are different, the technologies are different. And so, just the space growing as a whole is something that's super exciting. And NVIDIA and Inception, they're connecting everyone and making it happen right. And so, that's something I'm super excited about. That's fantastic.
Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.