Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.

In this webinar, Michael Snyder will present findings from a long-term study of 200 individuals followed for up to 15 years, revealing major insights into cardiovascular disease, cancer, metabolic health, and infectious disease. Key discoveries include distinct, measurable aging patterns, how wearable devices can be used for early detection of infectious diseases, such as COVID-19, and how microsampling can be used for monitoring and improving lifestyle.