The 4 Types of Wearables! Epigenetic Aging & Peakspan vs Healthspan? (+ Enhanced Games) (Fit For Science Episode 7)

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The 4 Types of Wearables! Epigenetic Aging & Peakspan vs Healthspan? (+ Enhanced Games) (Fit For Science Episode 7)

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Rob and Stephan categorize the modern wearable landscape, explain the shift from epigenetic to proteomic aging clocks, and debate the ethical implications of the upcoming 2026 Enhanced Games.📝SummaryIn this episode, biological data scientists Rob and Stephan provide a systematic framework for navigating the wearable market by defining four distinct device categories: Sleep, Sports, Smartwatches, and Health, while highlighting the technical trade-offs between battery life, GPS robustness, and algorithmic precision. The discussion transitions into the cutting-edge science of biological aging, contrasting traditional epigenetic methylation clocks with emerging organ-specific proteomic models that offer greater interpretability and more actionable insights for disease prevention. They introduce the concept of Peakspan, a proposed metric for maintaining 90% of optimal physiological performance throughout life, and conclude with a deep dive into the 2026 Enhanced Games, exploring the transhumanist debate over the supervised use of performance-enhancing drugs in professional sports.⏳Chapters00:00:00 The Four Wearable Archetypes: Sleep, Sports, Smartwatch, and Health 00:11:53 Software vs. Hardware: Why Tech Giants Lead in Heart Rate Accuracy 00:24:54 Decoding Biological Age: Epigenetic Clocks and Methylation Patterns 00:40:59 The Proteomic Shift: Using Organ-Specific Clocks to Predict Morbidity 00:51:09 Beyond Healthspan: Defining Peakspan at the 90% Performance Threshold 01:03:14 Cognitive Aging: Fluid vs. Crystallized Intelligence 01:12:22 Enhanced Games 2026: The Transhumanist Future of Competitive Sports 📚ResourcesEpigenetics - Wikipedia Unfolded, the DNA in a single human cell is about 2 meters (6.5 feet) long, containing roughly 3 billion base pairs.Steve Horvath's Epigenetic clock - WikipediaThe first/original clock was actually based on DNA methylation levels in saliva, not blood.An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes | Nature Communications DNA methylation GrimAge strongly predicts lifespan and healthspan - PMC CeMM: Landsteiner LecturesProtein-based organ aging clock research Tony Wyss-Coray, PhDAmino acid - WikipediaDunedinPACE, a DNA methylation biomarker of the pace of aging - PMC Amazing TIME article about biological age (published after recording 16.01.2026) The Race to Measure How We Age | TIME -omics: Proteomics & GenomicsMayo Clinic Q and A: Lifespan vs. healthspan Peakspan preprint paperFluid and crystallized intelligence - WikipediaTranshumanism - Wikipedia Enhanced Games 2026🎙️AboutFit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise in the health and fitness industry.Learn more and subscribe on your favorite platforms:YouTubeSpotifyApple PodcastsAmazon Music⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.

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