4.8 • 5.5K Ratings
🗓️ 27 May 2021
⏱️ 75 minutes
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Michael Snyder
Dr. Michael Snyder is the director for the Center for Genomics and Personalized Medicine at Stanford and a pioneer and advocate of "deep profiling." Deep profiling seeks to apply intelligent analysis to large data sets to yield specialized clinical insight, ranging from common consumer-grade wearables like Apple Watches to whole-body MRI, continuous glucose monitoring, and metabolomics.
In this episode, we discuss:
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0:00.0 | Today's episode features a self-confessed believer in the philosophy that more data is usually better, |
0:07.3 | an enthusiast for all things wearable technology, including and particularly continuous glucose monitors, |
0:14.2 | but also sleep trackers, fitness trackers, ex-posome trackers, and more. |
0:18.8 | In addition, he is the chairman of the Department of Genetics and Director of the Center for Genomics and Personalized Medicine at Stanford University. |
0:27.8 | That man is Dr. Michael Snyder. |
0:30.8 | Today, we talk a lot, including how some of these technologies, such as the more lab clinical analytic varieties like measuring metabolomics, transcriptomics, proteomics, and genomics, might change medicine for the better, |
0:45.2 | making it more personal, making it more preventative. |
0:48.8 | Many of you, I'm sure, will be particularly interested in our discussion in the overall utility of continuous glucose monitors, or CGMs, from a preventative medicine standpoint. |
0:58.8 | While CGMs like the DEXCOM and the freestyle library are still considered a medical product, and for the most part are prescribed under the care of a physician, |
1:06.8 | they have been fairly commoditized with companies like NutriSense, January AI, and Levels, making them widely and easily available to lifestyle optimizers through a physician network, |
1:16.8 | usually around a couple hundred dollars per month. |
1:19.8 | In this episode, Dr. Snyder and I discuss how his genomic analysis revealed he was at risk for type 2 diabetes, and how ultimately this coincided with an eventual diagnosis. |
1:30.8 | How some of Dr. Snyder's data suggests that 9 out of 10 people with pre-diabetes are unaware they have it. |
1:36.8 | This is important because even pre-diabetes can be clinically relevant. |
1:40.8 | However, a person's blood glucose response to a specific type of food can drastically differ from another person's. |
1:46.8 | How Dr. Snyder used wearable devices to help diagnose his Lyme disease? |
1:51.8 | How Dr. Snyder's ongoing study used wearable devices to help identify elevated heart rate as one of the first symptoms in many illnesses including COVID-19? |
2:01.8 | How smart watches that can detect heart rate variability may be able to help detect some heart conditions such as atrial fibrillation? |
2:10.8 | How measuring a person's expo zone can identify what airborne pathogens they've been exposed to, and how Dr. Snyder is trying to determine what this means for disease risk? |
2:19.8 | How children exposed to high levels of air pollution have biomarkers of Alzheimer's disease in their brains? |
2:25.8 | How certain lifestyle of modifications such as sauna use and sulfuricane can help rid the body of some airborne pollutants? |
2:32.8 | How Dr. Snyder's data suggests that different organs such as the heart, liver, and kidneys age at different rates in different people? |
... |
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