Ryan Smith, Founder of TruDiagnostic, discusses advancements in measuring biological age and personalized health metrics. He explains how cutting-edge science can predict individual health outcomes by identifying aging markers. The podcast explores interventions like NMN and Resveratrol, hormonal therapy, and personalized health models integrating different data sets for age quantification and disease risk assessment.
Advancements in biological age testing offer personalized health metrics for actionable insights.
Integrating multi-omics data can provide comprehensive health evaluations and personalized recommendations for optimal health.
Deep dives
Exploring the Quest for Measuring Biological Age
The episode delves into the quest to measure biological age and make it actionable for individuals. With a keen focus on aging markers, the discussion highlights advancements in developing explainable algorithms that offer personalized recommendations based on individual biological age. The conversation with Ryan Smith sheds light on the importance of understanding the factors influencing aging and the potential to transition from correlation to causation in identifying age-related causes.
Epigenetic Markers and Personalized Aging Insights
The podcast discusses the significance of epigenetic markers in predicting aging outcomes. Insights from the Omicage algorithm and Symphony Age model showcase the ability to estimate proteins, clinical values, and metabolites that drive the aging process. By breaking down individualized organ system age resolution, listeners are introduced to personalized recommendations based on specific biological aging patterns.
Impactful Interventions and Biomarker Predictions
Listeners are informed about the effectiveness of interventions like NMN, NR, Resveratrol, and Rapamycin in altering biological age markers. The discussion reveals the potential positive effects of long-term Rapamycin intake and highlights the variability in epigenetic profiles with different dosages. Exciting revelations are expected from upcoming studies on methylation risk scores for various diseases.
Future Prospects and Integration of Omics Data
The episode concludes with a glimpse into the future of integrating multi-omics data to provide actionable health insights. By combining DNA methylation tests with traditional biomarkers and functional information, the aim is to offer comprehensive health evaluations and personalized recommendations. The evolving landscape of biological age testing holds promise for empowering individuals to make informed choices for optimal health and longevity.
What is age, what are its markers, and how can we take actions to improve them on a personalized basis? This week, we sit down with Ryan Smith, founder of TruDiagnostic, and a leading figure in the evolving field of biological age testing, to explore the remarkable advancements in health diagnostics. Ryan discusses the development of personalized health metrics that not only measure biological age with unprecedented precision but also provide actionable health insights. Delving into the science behind these innovations, Ryan explains how these metrics can predict and improve individual health outcomes by identifying the biological markers of aging. Our conversation provides a fascinating look into how cutting-edge science is transforming our approach to health and longevity, making personalized healthcare a reality.
What kind of SuperAger are you? Check the SuperAge Quiz and find out! (visit: ageist.com/quiz)
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Key Moments "The best models will come from integrating multiple data sets. But for the sake of time, convenience and price, we're trying to consolidate all into just epigenome methylation. We think it's uniquely suited to do that."
"So you can actually get the test back and say, where do I rank among the true diagnostic cohort for my glucose? Is it higher or lower than average? Is my fattening higher."