Transforming Healthcare with Big Data and Wearables with Mike Snyder

Despite wearables existing for a long time, their potential benefits for human health have yet to be fully explored. Whether measured in blood, motion, or environment, each person’s health is unique and changes over time. Imagine a future where you can receive a text message to take an at-home test and then get the results shot right over to your primary care physician. Or you can wear a health tracker that can detect an infectious disease, anemia, or even type II diabetes and cancer before noticing them as symptoms and seeking medical care. Join Dr. Michael Snyder to learn about the latest research on individualized medicine and how real-time health monitoring and the power of long-term, deep data on individual patients can save lives.

Mike Snyder, Stanford W. Ascherman Professor of Genetics
Professor Snyder is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. He combined different state-of-the-art "omics" technologies to perform the first longitudinal detailed integrative personal omics profile (iPOP) of a person and used this to assess disease risk and monitor disease states for personalized medicine. He and his lab were the first to perform a large-scale functional genomics project in any organism and has developed many technologies in genomics and proteomics.

[JimAndreas]

This was VERY INTERESTING: The variability between people:
about 29:00 "It means that if I want to figure out if you've got a disease and I just take a sample now and then I compare with five other healthy people, it's hard to figure out if you have a disease, because the difference between people is bigger than the difference between healthy and disease for the same person."

[SFSylvester]

Inspiring.
Anyone know of any UK initiatives that are similar?

[drtajay]

Very interesting lecture, now it makes sense for learning so much basic science in medicine.Agree with you 100% on the point health care is lagging behind in technology adaptation .

Using painful repeated blood sample studies to detect diseases in the human body has been a longstanding method in medical diagnostics. However, the question arises as to why we continue to rely on this invasive approach when technologies like Mass Spectrometry (MS), which have been employed for analyzing gases in planetary atmospheres and monitoring Volatile Organic Compounds (VOCs) in space missions, offer non-invasive alternatives.