#307 - It Took Months to Interpret His Genome. Claude Did It in 30 Minutes. | Dr. Euan Ashley + Mike Haney

<p>Twenty-five years ago, sequencing the human genome seemed poised to usher in an era of personalized medicine. Dr. Euan Ashley helped turn that promise into an actual clinical experiment, leading one of the first efforts to interpret an entire human genome in the context of a real patient’s health. The challenge quickly became apparent: medicine could suddenly generate billions of data points about one person, but making sense of them was painfully slow.</p><p>That history feels newly relevant. Ashley recently gave an AI system his own 15-year-old genome data and watched it reproduce most of an analysis that had originally required months of work by a team, in about 30 minutes. Meanwhile, genomics is being joined by wearables, multi-omics, and other technologies capable of tracking far more of our biology over time.</p><p>In this episode of <em>NextLevel</em>, we use the genome revolution as a case study for what happens when our ability to measure the body advances faster than our ability to interpret and use the information. The next leap in personalized medicine may depend less on collecting another mountain of data than on building the tools, reference datasets, and healthcare systems capable of turning that information into decisions.</p><p><br></p><p><strong>Free course: Improve your metabolic health</strong></p><p>Get our free email course on how glucose, nutrition, exercise, sleep, and measurement can help you build habits that support better energy and long-term health: <a href="https://www.levels.com/partner/multimedia?utm_source=podcast&utm_medium=link&utm_content=nextlevel&partner=Ashley" target="_blank" rel="noopener noreferer">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://levels.link/wnl⁠</a></p><p><br></p><p><strong>🎙️ About the Guest:</strong></p><p>Dr. Euan Ashley is Chair of the Department of Medicine at Stanford University and the Roger and Joelle Burnell Professor of Genomics and Precision Health, with appointments in medicine, genetics, and biomedical data science. He’s also the author of <a href="https://www.porchlightbooks.com/products/genome-odyssey-euan-angus-ashley-9781250234995" rel="noopener noreferrer">The Genome Odyssey: Medical Mysteries and the Incredible Quest to Solve Them</a>.</p><p><strong>📍What Dr. Euan Ashley &amp; Mike Haney discussed:</strong></p><ul><li>03:33 What happened to the promise of personalized medicine?</li><li>06:33 The first clinical interpretation of a human genome</li><li>11:26 AI interprets in 30 minutes what once took months</li><li>21:25 Why genomics still needs better, more diverse reference data</li><li>27:41 Building a molecular map of exercise with MoTrPAC</li><li>32:01 Exercise changed nearly every organ researchers measured</li><li>39:05 Why your personal baseline can matter more than a &quot;normal&quot; range</li><li>42:46 How wearables opened a new era of longitudinal health data</li><li>47:48 The biggest barrier to continuous, personalized healthcare</li><li>51:39 What medical AI needs to become genuinely useful</li><li>57:05 How AI can ace medical benchmarks for the wrong reasons</li><li>58:20 The heart measurement Ashley considers a medical &quot;holy grail&quot;</li></ul><p><br></p><p><strong>🔗 Helpful Links:</strong></p><ul><li><a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC2937184/"><strong>Clinical Assessment Incorporating a Personal Genome</strong></a>, <em>The Lancet</em>, 2010. Landmark integrated clinical analysis of a complete human genome.</li><li><a href="https://commonfund.nih.gov/MolecularTransducers"><strong>Molecular Transducers of Physical Activity Consortium (MoTrPAC)</strong></a>, NIH Common Fund. Large-scale project mapping how exercise changes tissues and organs. </li><li><a href="https://pubmed.ncbi.nlm.nih.gov/38634503/"><strong>MoTrPAC: Human Studies Design and Protocol</strong></a>, <em>Journal of Applied Physiology</em>, 2024. Human study of molecular responses to endurance and resistance training.</li><li><a href="https://pubmed.ncbi.nlm.nih.gov/387017