The Genetic Clues That Could Predict How You Age
Notas do episódio
Hosts:
Phil Newman: https://qrco.de/bgXpNY
Nina Patrick: https://qrco.de/bgXpKn
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Guests: Professor Ronjon Nag, OBE
President of the R42 Group, CEO and Founder of Agemica and Board Advisor at Genomelink and YourRoots
LinkedIn: www.linkedin.com/in/ronjonnag/
Website: www.r42group.com/, agemica.com, app.superbio.ai, genomelink.io, yourroots.com
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What if your DNA and AI could become one of the most powerful tools for preventing disease, optimizing health, and extending healthy lifespan?
Phil Newman and Dr. Nina Patrick sit down with Ronjon Nag, OBE, President of R42, CEO of Aegemica and Superbio.ai, and Adjunct Professor in Genetics at the Stanford School of Medicine, to explore how artificial intelligence is reshaping genomics and why we're entering a new era of personalized healthcare.
Ronjon explains why most diseases are far more complex than single-gene mutations, and why understanding biology increasingly requires combining genetics with biomarkers, clinical records, lifestyle, and AI. He shares why genetics should be viewed as a lifelong health blueprint rather than a one-time report, and how future AI systems may allow people to interact with their own biology in entirely new ways.
The conversation also explores why medicine is shifting toward prediction rather than reaction, how AI is helping researchers identify disease patterns hidden inside massive biological datasets, and why better data could dramatically accelerate drug discovery and preventative healthcare.
Ronjon also discusses one of his boldest projects yet: developing peptide-based vaccines that target multiple aging pathways simultaneously. By combining AI with large-scale biological datasets, his team hopes to train the immune system to recognize and eliminate damaged cells before they contribute to age-related disease.
In this episode, you’ll learn:
- Why most diseases are influenced by thousands of genes, not just one
- How AI is making genetics more useful for everyday healthcare
- Why combining genetics with biomarkers creates better health insights
- How preventative medicine is moving toward personalized risk prediction
- The science behind peptide vaccines targeting aging pathways
- Why AI may soon let you "talk" to your own biology
If you're interested in AI, biotechnology, longevity science, and the future of healthcare, this episode offers an inside look at the technologies that could fundamentally change how we prevent disease and extend healthy lifespan.
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